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  • 应用随机过程第4版课件-pdf.zip

    本附件包括:
    • 第10章 随机过程在保险精算中的应用.pdf
    • 第11章 Markov链Monte Carlo方法.pdf
    • 第1章 预备知识.pdf
    • 第2章 随机过程的基本概念和类型.pdf
    • 第3章 Poisson过程.pdf
    • 第4章 更新过程.pdf
    • 第5章 Markov链.pdf
    • 第6章 鞅.pdf
    • 第7章 Brown运动.pdf
    • 第8章 随机积分.pdf
    • 第9章 随机过程在金融中的应用.pdf
  • 4.71 MB
  • 2024-9-2
  • 应用随机过程第4版-源程序.zip

    本附件包括:
    • CAS.jpg
    • CJK.enc
    • CJK.sty
    • CJKfntef.sty
    • CJKnumb.sty
    • CJKspace.sty
    • CJKspace.sty.txt
    • CJKulem.sty
    • CJKutf8.sty
    • CJKvert.sty
    • _temp.out.bak
    • _temp.pdf
    • brownb.pdf
    • ctextemp_CJK.enc
    • ctextemp_CJK.enc.lst
    • ctextemp_CJK.sty
    • ctextemp_CJK.sty.lst
    • ctextemp_CJKspace.sty
    • ctextemp_CJKspace.sty.lst
    • ctextemp_mybase.sty
    • ctextemp_mybase.sty.lst
    • dxsjfc.tex
    • extended.chr
    • extended.enc
    • mybase.sty
    • pinyin.sty
    • pmC.chr
    • pmCbig.enc
    • pmCsmall.enc
    • ruby.sty
    • standard.bdg
    • standard.chr
    • standard.enc
    • tu10-1.pdf
    • tu11-1.jpg
    • tu11-2.jpg
    • tu3-1.pdf
    • tu3-2.pdf
    • tu4-1.pdf
    • tu4-2.pdf
    • tu5-1.pdf
    • tu5-2.pdf
    • tu5-3.pdf
    • tu5-4.pdf
    • tu5-5.pdf
    • tu5-6.pdf
    • tu5-7.pdf
    • xCJK.sty
    • xpmC.chr
    • xpmC.enc
    • 第10章 随机过程在保险精算中的应用.tex
    • 第11章 Markov链Monte Carlo方法.tex
    • 第1章 预备知识.tex
    • 第2章 随机过程的基本概念和类型.tex
    • 第3章 Poisson过程.tex
    • 第4章 更新过程.tex
    • 第5章 Markov链.tex
    • 第6章 鞅.tex
    • 第7章 Brown运动.tex
    • 第8章 随机积分.tex
    • 第9章 随机过程在金融中的应用.tex
  • 1.97 MB
  • 2024-9-2
  • 应用随机过程第3版-课件.zip

    本附件包括:
    • 第10章 随机过程在保险精算中的应用.pdf
    • 第1章 预备知识.pdf
    • 第2章 随机过程的基本概念和类型.pdf
    • 第3章 Poisson过程.pdf
    • 第4章 更新过程.pdf
    • 第5章 Markov链.pdf
    • 第6章 鞅.pdf
    • 第7章 Brown运动.pdf
    • 第8章 随机积分.pdf
    • 第9章 随机过程在金融中的应用.pdf
  • 4.28 MB
  • 2024-9-2
  • 空间马尔可夫模型.zip

    本附件包括:
    • sp_markov.mat
    • main.m
    • space_mark.m
    • tra_mark.m
    • W.mat
    • 说明.txt
  • 3.74 KB
  • 2023-7-9
  • Continuous Time Processes for Finance.rar
       金融连续时间处理

    本附件包括:
    • CH 11 A Fractional Dupire Equation for Jump-Diffusions.pdf
    • CH 1 Switching Models- Properties and Estimation.pdf
    • CH 2 Estimation of Continuous Time Processes by Markov Chain.pdf
    • CH 3 Particle Filtering and Estimation.pdf
    • CH 4 Modeling of Spillover Effects in Stock Markets.pdf
    • CH 5 Non-Markov Models for Contagion and Spillover.pdf
    • CH 6 Fractional Brownian Motion.pdf
    • CH 7 Gaussian Fields for Asset Prices.pdf
    • CH 8 Lévy Interest Rate Models with a Long Memory.pdf
    • CH 9 Affine Volterra Processes and Rough Models.pdf
    • CH 10 Sub-diffusion for Illiquid Markets.pdf
  • 10.1 MB
  • 2023-6-25
  • 马尔科夫决策过程的Matlab程序,包括一些例程-Markov Decision Process.rar
       马尔科夫决策过程的Matlab程序,包括一些例程-Markov Decision Process

    本附件包括:
    • value_iteration.m
    • approxeq.m
    • assert.m
    • demo_russell.m
    • demo_sutton.m
    • mk_grid_world.m
    • mk_grid_world_simple.m
    • policy_iteration.m
    • Q_from_V.m
    • README
    • subv2ind.m
    • test1.m
    • value_determination.m
  • 7.1 KB
  • 2023-6-24
  • discrete stochastic process.rar

    本附件包括:
    • Appendix A&Bibliography.pdf
    • chap01-introduction and review of probability.pdf
    • chap02-POISSON PROCESSES.pdf
    • chap03-FINITE-STATE MARKOV CHAINS.pdf
    • chap04-RENEWAL PROCESSES.pdf
    • chap05-COUNTABLE-STATE MARKOV CHAINS.pdf
    • chap06-MARKOV PROCESSES WITH COUNTABLE STATE SPACES.pdf
    • chap07-RANDOM WALKS, LARGE DEVIATIONS, AND MARTINGALES.pdf
    • Preface-discrete stochastic process.pdf
  • 9.01 MB
  • 2023-1-20
  • 9780128197394.Exploring Monte Carlo Methods Book • Second Edition &#82.zip

    本附件包括:
    • Front-Matter_2023_Exploring-Monte-Carlo-Methods.pdf
    • Contents_2023_Exploring-Monte-Carlo-Methods.pdf
    • Appendix-A---Some-Common-Probability-Distribu_2023_Exploring-Monte-Carlo-Met.pdf
    • Index_2023_Exploring-Monte-Carlo-Methods.pdf
    • Copyright_2023_Exploring-Monte-Carlo-Methods.pdf
    • Preface-to-the-Second-Edition_2023_Exploring-Monte-Carlo-Methods.pdf
    • Dedication_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-3---Pseudorandom-Number-Generators_2023_Exploring-Monte-Carlo-Method.pdf
    • Chapter-8---Linear-Operator-Equations_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-1---Introduction_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-10---Monte-Carlo-Simulation-of-Neutral-Pa_2023_Exploring-Monte-Carlo.pdf
    • Chapter-9---The-Fundamentals-of-Neutral-Particl_2023_Exploring-Monte-Carlo-M.pdf
    • Preface-to-the-First-Edition_2023_Exploring-Monte-Carlo-Methods.pdf
    • Appendix-E---Some-Popular-Monte-Carlo-Codes-for-P_2023_Exploring-Monte-Carlo.pdf
    • Appendix-D---Linear-Operators_2023_Exploring-Monte-Carlo-Methods.pdf
    • Appendix-F---Minimal-Standard-Pseudorandom-Numb_2023_Exploring-Monte-Carlo-M.pdf
    • About-the-Authors_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-2---The-Basis-of-Monte-Carlo_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-5---Variance-Reduction-Techniques_2023_Exploring-Monte-Carlo-Methods.pdf
    • Chapter-4---Sampling--Scoring--and-Precisio_2023_Exploring-Monte-Carlo-Metho.pdf
    • Chapter-7---Inverse-Monte-Carlo_2023_Exploring-Monte-Carlo-Methods.pdf
    • Appendix-C---Central-Limit-Theorem_2023_Exploring-Monte-Carlo-Methods.pdf
    • Appendix-B---The-Weak-and-Strong-Laws-of-Large_2023_Exploring-Monte-Carlo-Me.pdf
    • Chapter-6---Markov-Chain-Monte-Carlo_2023_Exploring-Monte-Carlo-Methods.pdf
  • 6.72 MB
  • 2022-9-22
  • eeus.zip

    本附件包括:
    • markov.do
    • allstations.dta
    • annualsunspots.dta
    • ar2models.do
    • arfima.do
    • armasimulate.do
    • auto.do
    • beyond.do
    • bilinear.do
    • binary.do
    • brisbanetemp.dta
    • cb_2017_us_state_20m.dta
    • cb_2017_us_state_20m_shp.dta
    • censored.do
    • census_popnst.dta
    • cerillos.dta
    • cerrillosm.dta
    • co2breaks.do
    • co2businesscycleshocks.xls
    • co2cycles.irf
    • co2.irf
    • co2plot.do
    • cointegration.do
    • commodity.dta
    • confirmed_adj_st.dta
    • confirmed_adj_st_long.dta
    • confirmed_adj_st_pol.dta
    • consistency.do
    • corruption.dta
    • crushbreaks.do
    • crushplot.do
    • crushspread2.do
    • crushspread.do
    • crushspread.dta
    • dailywind.do
    • data.do
    • discrete.do
    • dist_cepii.dta
    • djsidata.dta
    • dynamics.do
    • ecmsimulate.do
    • ,eeus-ado.pkg
    • eeus-ado.pkg
    • ,eeus-data.pkg
    • eeus-data.pkg
    • eeus-do.pkg
    • fci.dta
    • fcoint.do
    • firstgen.do
    • fishmap.do
    • forecasting.do
    • fractionalcointegration.dta
    • fractional.do
    • gmm.do
    • grassi.do
    • greenrisk.do
    • greensolow.dta
    • hourly.do
    • intro.do
    • knitteldata.do
    • knittel.do
    • loadweightedprice.do
    • logforecast.do
    • logpercapitaco2.dta
    • lwp.dta
    • main.do
    • mgarch.do
    • ml.do
    • mlestimate.do
    • moran.do
    • mw-data.dta
    • ne_110m_admin_0_countries.dbf
    • ne_110m_admin_0_countries.shp
    • nile.dta
    • nina34.dta
    • nonlinear.do
    • nonlinear-testing.do
    • ,ols.do
    • ols.do
    • ordered.do
    • panel.do
    • phh.do
    • phh.dta
    • phh_fix.dta
    • phhmap.do
    • phh_orig.dta
    • phhwide.dta
    • plots-fractional.do
    • plots-single.do
    • plots-stsm.do
    • plots-svars.do
    • pm_daily.dta
    • pm_hourly.dta
    • pm_weekly.dta
    • politaffil2.dta
    • politaffil_76_92.xlsx
    • politaffil.dta
    • quarterlyusmacro.dta
    • santiago.dta
    • secondgen.do
    • sim10.dta
    • sim50.dta
    • single.do
    • soi.dta
    • spatial.do
    • spatialfish_small.dta
    • spatial-testing.do
    • spinst_eeus.ado
    • sst34.dta
    • stabv.dta
    • star.do
    • ,stata.toc
    • stata.toc
    • states.dta
    • stern&kaufmann2014.dta
    • stsm.do
    • sumstats.do
    • sunspots.dta
    • svars.do
    • threshold.do
    • treaty_all_final.dta
    • twobalance.dta
    • ucm.do
    • unitroots.do
    • usastates.dta
    • usastates_shp.dta
    • us_co2_emissions_by_source.xlsx
    • v23.ado
    • var.do
    • varma.do
    • vars.dta
    • vcecomp.tex
    • volatility.do
    • wdist.stswm
    • weightingmatrices.do
    • whalecatch.do
    • whalecatch.dta
    • whalesdata.dta
    • whales.dta
    • windstats.do
    • world.dta
    • world_shp.dta
    • wpol.spmat
    • wpol.stswm
  • 21.38 MB
  • 2022-5-20
  • Handbook of Econometrics, Volume 4.zip

    本附件包括:
    • Chapter-51-Structural-estimation-of-markov-decision_1994_Handbook-of-Econome.pdf
    • Contents-of-volume-IV_1994_Handbook-of-Econometrics.pdf
    • Preface-to-the-handbook_1994_Handbook-of-Econometrics.pdf
    • Chapter-50-State-space-models_1994_Handbook-of-Econometrics.pdf
    • Chapter-49-Arch-models_1994_Handbook-of-Econometrics.pdf
    • Chapter-48-Aspects-of-modelling-nonlinear-time-se_1994_Handbook-of-Econometr.pdf
    • Chapter-40-Classical-estimation-methods-for-LDV-model_1994_Handbook-of-Econo.pdf
    • Chapter-41-Estimation-of-semiparametric-models_1994_Handbook-of-Econometrics.pdf
    • Chapter-42-Restrictions-of-economic-theory-in-nonpar_1994_Handbook-of-Econom.pdf
    • Contents-of-the-handbook_1994_Handbook-of-Econometrics.pdf
    • Introduction-to-the-series_1994_Handbook-of-Econometrics.pdf
    • Index_1994_Handbook-of-Econometrics.pdf
    • Chapter-46-Unit-roots--structural-breaks-and-tre_1994_Handbook-of-Econometri.pdf
    • Chapter-45-Estimation-and-inference-for-dependent-_1994_Handbook-of-Economet.pdf
    • Chapter-47-Vector-autoregressions-and-cointegrat_1994_Handbook-of-Econometri.pdf
    • Chapter-37-Empirical-process-methods-in-economet_1994_Handbook-of-Econometri.pdf
    • Chapter-38-Applied-nonparametric-methods_1994_Handbook-of-Econometrics.pdf
    • Chapter-44-Testing-non-nested-hypotheses_1994_Handbook-of-Econometrics.pdf
    • Chapter-39-Methodology-and-theory-for-the-bootst_1994_Handbook-of-Econometri.pdf
    • Chapter-43-Analog-estimation-of-econometric-mode_1994_Handbook-of-Econometri.pdf
    • Chapter-36-Large-sample-estimation-and-hypothesis-_1994_Handbook-of-Economet.pdf
  • 48.12 MB
  • 2022-5-4
  • Handbook of Econometrics, Volume 5.zip

    本附件包括:
    • Chapter-54---Interactions-Based-Models_2001_Handbook-of-Econometrics.pdf
    • Chapter-55---Duration-Models--Specification--Identifica_2001_Handbook-of-Eco.pdf
    • Chapter-53---Panel-Data-Models--Some-Recent-Developments-----We-th_2001_Hand.pdf
    • Contents-of-Volume-5_2001_Handbook-of-Econometrics.pdf
    • Chapter-57---Markov-Chain-Monte-Carlo-Methods--Comput_2001_Handbook-of-Econo.pdf
    • Contents-of-the-handbook_2001_Handbook-of-Econometrics.pdf
    • Preface-to-the-Handbook_2001_Handbook-of-Econometrics.pdf
    • Chapter-58---Calibration_2001_Handbook-of-Econometrics.pdf
    • Chapter-52---The-Bootstrap_2001_Handbook-of-Econometrics.pdf
    • Subject-Index_2001_Handbook-of-Econometrics.pdf
    • Series-Page_2001_Handbook-of-Econometrics.pdf
    • Copyright_2001_Handbook-of-Econometrics.pdf
    • Introduction-to-the-Series_2001_Handbook-of-Econometrics.pdf
    • Chapter-56---Computationally-Intensive-Methods-for-Integration-i_2001_Handbo.pdf
    • Chapter-59---Measurement-Error-in-Survey-Data_2001_Handbook-of-Econometrics.pdf
    • Author-Index_2001_Handbook-of-Econometrics.pdf
  • 34.55 MB
  • 2022-5-4
  • 互联网金融:Credit risk anlysis,信用风险分析,信用风险模型,信用评分模型.rar
       Credit Risk

    本附件包括:
    • Credit risk scorecards-developing and implementing intelligent credit scoring.pdf
    • Markov方法在行为评分中的应用(TEX).pdf
    • 个人信用评分模型及其应用_11526247.pdf
    • 个人信用评估的LogisticRBF组合模型.pdf
    • 基于SenV_RBF的个人信用评分模型.pdf
    • 信用评分及其应用.pdf
    • 信用评分卡(研究方法).pdf
    • 信用评分卡综述.pdf
    • 信用评分模型.pdf
    • 信用评分模型技术与应用.pdf
    • 信用评级-定义、目标及其在信用产品投资中的应用-中金.pdf
  • 51.7 MB
  • 2021-5-9
  • 3.Markov Chain Monte Carlo, Example 2.rar
       3

    本附件包括:
    • 3.Markov Chain Monte Carlo, Example 2.mp4
  • 13.96 MB
  • 2020-6-30
  • 2.Markov Chain Monte Carlo, Example 1.rar
       2

    本附件包括:
    • 2.Markov Chain Monte Carlo, Example 1.mp4
  • 9.85 MB
  • 2020-6-30
  • 程序Introduction to Stochastic Processes with R.zip
       书中的配套程序

    本附件包括:
    • markovproc.R
    • absorption.R
    • adjacent.R
    • AustenCount.txt
    • bbridge.R
    • bivariatenormal.R
    • bm.R
    • bmhitting.R
    • branching.R
    • branchPoisson.R
    • buswaiting.R
    • c1brownian.R
    • c1expgrowth.pdf
    • c1expgrowth.R
    • c1gamblersruin.R
    • c1randomwalk.R
    • c5trivariate.pdf
    • c8options.R
    • cancerstudy.R
    • carleton_1.0.1.tar.gz
    • coinflips.R
    • darwin.R
    • decode.R
    • drift.R
    • forest.R
    • gamblersruin.R
    • globalbalance.R
    • graduation.R
    • gym.R
    • hypercube.R
    • integratedbm.R
    • ising.R
    • kstest.R
    • logistic.R
    • lungcancer.csv
    • lungcancer.xls
    • matrixexp.R
    • maxssrw.R
    • mm1queue.R
    • ornstein.R
    • ornstein2.R
    • pagerank.R
    • pattern.R
    • pattern2.R
    • perfect.R
    • perfectmono.R
    • pizza.R
    • poissonsim.R
    • powerlaw.R
    • powerlaw2.R
    • Psubordination.R
    • ReedFrost.R
    • returntime.R
    • rw1135.R
    • rw134.R
    • rw2135.R
    • SaylesCost.R
    • scriptsample.R
    • snakes.R
    • spatialPoisson.R
    • standardnormal.R
    • stochresonance.R
    • trivariate.R
    • utilities.R
    • waitingparadox.R
  • 754.15 KB
  • 2020-3-13
  • handason系列归档.zip
       hands on系列图书汇总,造福大家

    本附件包括:
    • Hands-On_Data_Analysis_with_NumPy_and_pandas.epub
    • Hands-On_Data_Science_and_Python_Machine_Learning_py2 (1).rar
    • Hands-On_Data_Science_and_Python_Machine_Learning.pdf
    • Hands-On_Data_Structures_and_Algorithms_with_Python.pdf
    • Hands-On_Machine_Learning_for_Algorithmic_Trading.pdf
    • Hands-On_Markov_Models_with_Python.pdf
    • Hands-On_Predictive_Analytics_with_Python.pdf
  • 74.37 MB
  • 2020-2-17
  • SUMS85 Understanding Markov Chains -- Examples and Applications, 2nd Edition, Ni.zip

    本附件包括:
    • SUMS85 Understanding Markov Chains -- Examples and Applications, 2nd Edition, Nicolas Privault (2018).jpg
    • SUMS85 Understanding Markov Chains -- Examples and Applications, 2nd Edition, Nicolas Privault (2018).pdf
  • 4.47 MB
  • 2019-6-24
  • SUMS58 Understanding Markov Chains -- Examples and Applications, Nicolas Privaul.zip

    本附件包括:
    • SUMS58 Understanding Markov Chains -- Examples and Applications, Nicolas Privault (2013).jpg
    • SUMS58 Understanding Markov Chains -- Examples and Applications, Nicolas Privault (2013).pdf
  • 2.91 MB
  • 2019-6-23
  • Markov-Switching Vector Autoregressions_ Modelling, Statistical Inference, and A.rar

    本附件包括:
    • Markov-Switching Vector Autoregressions_ Modelling, Statistical Inference, and Application to Business Cycle Analysis (199.pdf
  • 23.18 MB
  • 2019-4-4
  • Markov-Switching Vector Autoregressions_ Modelling, Statistical Inference, and A.rar

    本附件包括:
    • Markov-Switching Vector Autoregressions_ Modelling, Statistical Inference, and Application to Business Cycle.pdf
  • 1.5 MB
  • 2019-4-4
  • (Monographs on statistics and applied probability 150) Langrock, Roland_ MacDona.zip

    本附件包括:
    • (Monographs on statistics and applied probability 150) Langrock, Roland_ MacDonald, Iain L._ Zucchini, W-Hidden Markov Models for Time Series_ An Introduction Using R-CRC Press (2016).pdf
  • 3.28 MB
  • 2018-11-29
  • 经典论文 文献.rar
       马科维兹的均值方差 夏普的CAPM 有效市场假说

    本附件包括:
    • EF Fama-1970-Efficient Capital Markets A Review of Theory and Empirical Work.pdf
    • Lintner-1965-The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets.pdf
    • Markowitz-1952-Portfolio Selection-The_Journal_of_Finance.pdf
    • Stephen A Ross-1976-The Arbitrage Theory of Capital Asset Pricing.pdf
    • Sharpe-1964-The_Journal_of_Finance.pdf
  • 9.75 MB
  • 2018-11-20
  • Dynamic Markov Bridges and Market Microstructure.zip

    本附件包括:
    • mimetype
  • 15.88 MB
  • 2018-10-27
  • Dynkin_1963.zip
       Dynkin的Markov processes两卷本,俄文原版

    本附件包括:
    • Dynkin_1963.djvu
  • 8.57 MB
  • 2018-10-11
  • 随机过程.rar
       随机分析与其在金融领域的应用

    本附件包括:
    • 第1讲-引言.ppt
    • 第2讲-基础知识.ppt
    • 第3讲-随机过程.ppt
    • 第4讲-Poisson过程及其应用.ppt
    • 第5讲-离散参数Markov链及其应用.ppt
    • 第6讲:连续时间Markov链.ppt
    • 第7讲:Brown运动及其应用.ppt
    • 第8讲:鞅及其应用.ppt
    • 第9讲:随机微分方程及其应用.ppt
    • 随机微积分应用---期权定价.ppt
    • Markov链的应用.ppt
  • 6.2 MB
  • 2018-6-19
  • Stochastic Analysis 2.zip

    本附件包括:
    • Brownian Motion and Stochastic Calculus Karatzas and Shreve.pdf
    • Brownian Motion, Martingales, and Stochastic Calculus.pdf
    • Diffusions,Markov Processes and Martingales Volume 1.pdf
    • Diffusions,Markov Processes and Martingales Volume 2.pdf
  • 81.7 MB
  • 2018-5-27
  • RP2.zip

    本附件包括:
    • Adventures in Stochastic Processes Resnick.pdf
    • Markov Chains Gibbs Fields, Monte Carlo Simulation, and Queues.pdf
  • 70.66 MB
  • 2018-5-27
  • RP1.zip

    本附件包括:
    • A First Course in Stochastic Processes - S Karlin & H M Taylor (AP, 1975).pdf
    • A Second Course in Stochastic Processes Karlin,Taylor.pdf
    • An Introduction to Markov Processes.pdf
    • An Introduction to Stochastic Modelling Karlin & Taylor.pdf
    • Introduction to Probability Models Sheldon M.Ross 10th Edition.pdf
    • Introduction to stochastic processes (Lawler).djvu
  • 57.95 MB
  • 2018-5-27
  • Finite Markov Processes and Their Applications.rar

    本附件包括:
    • Finite Markov Processes and Their Applications.azw3
  • 16.97 MB
  • 2018-3-30
  • Change point estimation in high dimensional Markov random-field models.zip

    本附件包括:
    • Change point estimation in high dimensional Markov random-field models.pdf
  • 598.05 KB
  • 2017-12-17
  • 201-210.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 210) Health Care Benchmarking and Performance Evaluation_ An Assessment using Data Envelopment Analysis (DEA)-S.pdf
    • (International Series in Operations Research & Management Science 201) Two-Person Zero-Sum Games-Springer US (2014).pdf
    • (International Series in Operations Research & Management Science 202) Manufacturing and Service Enterprise with Risks II_ The Physics and Economics of Management-Springer Japa.pdf
    • (International Series in Operations Research & Management Science 203) Linear and Multiobjective Programming with Fuzzy Stochastic Extensions-S.pdf
    • (International Series in Operations Research & Management Science 204) Mathematical and Computational Modeling of Tonality_ Theory and Applications-Springer US (2014).pdf
    • (International Series in Operations Research & Management Science 206) Patient Flow_ Reducing Delay in Healthcar.pdf
    • (International Series in Operations Research & Management Science 207) Optimal Stochastic Scheduling-Springer US (2014).pdf
    • (International Series in Operations Research & Management Science 208) Data Envelopment Analysis_ A Handbook on the Modeling of Internal Structures and Networks-Springer U.pdf
    • (International Series in Operations Research & Management Science 209) Hidden Markov Models in Finance_ Further Developments and Applications, Volume II-Spri.pdf
    • (International Series in Operations Research & Management Science 205) Integrating Renewables in Electricity Markets Operational Problems.pdf
  • 47.25 MB
  • 2017-11-6
  • 181-190.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 181) Handbook of Global Logistics_ Transportation in International Supply.pdf
    • (International Series in Operations Research & Management Science 182) Flow Shop Scheduling_ Theoretical Results, Algorithms, and Applications-Springer US (1).pdf
    • (International Series in Operations Research & Management Science 184) Handbook of Healthcare Operations Management_ Methods and Applicati.pdf
    • (International Series in Operations Research & Management Science 185) Improving Risk Analysis-Springer-Verlag New York (2013).pdf
    • (International Series in Operations Research & Management Science 186) Business Analytics_ A Practitioner’s Guide-Springer-Verlag New York (2013).pdf
    • (International series in Operations Research & Management science 187) Foundations and methods of stochastic simulation _ a first course-Springer (2013).pdf
    • (International Series in Operations Research & Management Science 188) Engineering Risk and Finance-Springer US (2013).pdf
    • (International Series in Operations Research & Management Science 189) Markov Chains _ Models, Algorithms and Applications-Springer (2013).pdf
    • (International Series in Operations Research & Management Science 190) Operations Research and Health Care Policy.pdf
    • (International Series in Operations Research & Management Science 183) Handbook of operations research for homeland security.pdf
  • 40.57 MB
  • 2017-11-6
  • 171-180.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 180) Complementarity Modeling in Energy.pdf
    • (International Series in Operations Research & Management Science 171) Hamiltonian Cycle Problem and Markov Chains-Springer-Verl.pdf
    • (International Series in Operations Research & Management Science 172) Managing supply chain risk-Springer-Verlag New York (2012).pdf
    • (International Series in Operations Research & Management Science 173) Advanced Decision Making Methods Applied to Health Care.pdf
    • (International Series in Operations Research & Management Science 174) Sustainable Supply Chains.pdf
    • (International Series in Operations Research & Management Science 175) Models, Methods, Concepts & Applications of the Analytic Hierarchy Process-Springer US (2.pdf
    • (International Series in Operations Research & Management Science 176) Handbook of Newsvendor Problems _ Models, Extensions and Applications-Springer (2012).pdf
    • (International Series in Operations Research & Management Science 177) Integration of Information and Optimization Models for Routing in City Logistics-Springer-Verlag New Yor.pdf
    • (International Series in Operations Research & Management Science 178) Risk Analysis in Stochastic Supply Chains_ A Mean-Risk Approach-Springer-Verlag New York (.pdf
    • (International Series in Operations Research & Management Science 179) Public Policy Analysis_ New Developments-.pdf
  • 33.98 MB
  • 2017-11-6
  • 101-110.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 101) Throughput Optimization in Robotic Cells.pdf
    • (International Series in Operations Research & Management Science 103) Time-Varying Network Optimization-Springer US (2007).pdf
    • (International Series in Operations Research & Management Science 104) Hidden Markov Models in Finance (International Series in Operations Research and Man.pdf
    • (International Series in Operations Research & Management Science 105) Process Optimization_ A Statistical Approach-Springer US (2007).pdf
    • (International Series in Operations Research & Management Science 108) Markovian Demand Inventory Models-Springer US (2010).pdf
    • (International Series in Operations Research & Management Science 109) Nested Partitions Method, Theory and Applications-Springer US (2009).pdf
    • (International Series in Operations Research & Management Science 107) Foreign-Exchange-Rate Forecasting with Artificial Neural Networks International Series in Operations Research & Management Science.pdf
    • (International Series in Operations Research & Management Science 110) System Signatures and their Applications in Engineering Reliability International Series in Operations Research & Management Science.pdf
    • (International Series in Operations Research & Management Science 102) Nonlinear Science and Infrastructure Systems International Series in Operations Research & Management Science.pdf
    • (International Series in Operations Research & Management Science 106) Just-in-Time Scheduling Models and Algorithms for Computer and Manufacturing Systems.pdf
  • 28.45 MB
  • 2017-11-6
  • 40.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 40) Handbook of Markov Decision Processes_ Methods a.pdf
  • 55.28 MB
  • 2017-11-6
  • 81-90.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 82) Quantitative Health Risk Analysis Methods_ Modeling the Human Health Impacts of Antibiotics Used in.pdf
    • (International series in operations research & management science 83) Markov chains_ models, algorithms and applications-Springer (2006).pdf
    • (International Series in Operations Research & Management Science 84) Nonlinear Integer Programming-Springer US (2006).pdf
    • (International Series in Operations Research & Management Science 85) Soft Computing For Complex Multiple Criteria Decision Making-Springer US (2006).pdf
    • (International Series in Operations Research & Management Science 86) Evaluation and Decision Models with Multi.pdf
    • (International Series in Operations Research & Management Science 87) Mass Customization_ Challenges and Solutions.pdf
    • (International Series in Operations Research & Management Science 88) Handbook on Modelling for Discrete Optimization.pdf
    • (International series in operations research & management science 89) Handbook of production scheduling-Springer (2006).pdf
    • (International series in operations research & management science 90) Inventory Control, 2nd Edition (International Series in Operations Research & Management Science) -Springer (2006).pdf
    • (International Series in Operations Research & Management Science 81) Inventory and Supply Chain Management with Forecast Updates.pdf
  • 85.65 MB
  • 2017-11-6
  • 241-250.rar

    本附件包括:
    • (International Series in Operations Research & Management Science 250) Level Crossing Methods in Stochastic Models(2018).pdf
    • (International Series in Operations Research & Management Science 241) Robustness Analysis in Decision Aiding, Optimization, an.pdf
    • (International Series in Operations Research & Management Science 242) Multiple Criteria Decision Making by Multiobjective Optimiza.pdf
    • (International Series in Operations Research & Management Science 243) Scheduling with Time-Changing Effects and Rate-Modifying Activities-Springer Inte.pdf
    • (International Series in Operations Research & Management Science 244) Computational Intelligence in Logistics and Supply Chain Management.pdf
    • (International Series in Operations Research & Management Science 245) Optimal Financial Decision Making under Uncertainty.pdf
    • (International Series in Operations Research & Management Science 246) Computational Probability_ Algorithms and Applications in the Mathematical Sciences.pdf
    • (International Series in Operations Research & Management Science 247) Computational Probability Applications(2017).pdf
    • (International Series in Operations Research & Management Science 248) Markov Decision Processes in Practice(2017).pdf
    • (International Series in Operations Research & Management Science 249) Advances in Efficiency and Productivity.pdf
  • 36.49 MB
  • 2017-11-5
  • Buch.zip
       HMM Time Series课程资料作业

    本附件包括:
    • ch3_slides.pdf
    • ch3_solutions.pdf
    • ch4_slides.pdf
    • ch4_solutions.pdf
    • ch5_slides.pdf
    • ch5_solutions.pdf
    • ch6_slides.pdf
    • ch6_solutions.pdf
    • ch8_slides.pdf
    • ch8_solutions.pdf
    • Exercise.R
    • Hidden Markov Models for Time Series An Introduction Using R.pdf
    • Mixed Hidden Markov Models-An extension of the Hidden Markov Model to the Longitudinal Data Setting.pdf
    • myklimdata.txt
    • nspr.ps
    • parest_thet05.txt
    • parest_thet15.txt
    • soap.txt
    • week7_notes.pdf
    • week9_notes.pdf
    • week10_example.pdf
    • week10_solutions.pdf
    • week13_example.pdf
    • winddata.txt
    • writtenexercise1.pdf
    • writtenexercise2.pdf
    • writtenexercise3.pdf
    • 2006_Zucchini Bulla Berzel_Lecture notes HMM.pdf
    • ch1_slides.pdf
    • ch1_solutions.pdf
    • ch2_slides.pdf
    • ch2_solutions.pdf
  • 9.74 MB
  • 2017-10-16
  • Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and .rar

    本附件包括:
    • Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications.pdf
  • 5.32 MB
  • 2017-9-25
  • Springer Series in Statistics(2012-2016).rar

    本附件包括:
    • 2012.Inference for Functional Data with Applications(2012).pdf
    • 2012.Markov Bases in Algebraic Statistics(2012).pdf
    • 2013.Bayesian and Frequentist Regression Methods(2013).pdf
    • 2013.Sequential Experimentation in Clinical Trials_ Design and Analysis(2013).pdf
    • 2013.Smoothing Spline ANOVA Models(2013).pdf
    • 2013.The Gini Methodology_ A Primer on a Statistical Methodology(2013).pdf
    • 2014.Analysis of Neural Data(2014).pdf
    • 2014.Longitudinal Categorical Data Analysis(2014).pdf
    • 2015.Bayesian Nonparametric Data Analysis(2015).pdf
    • 2015.Regression Modeling Strategies_ With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis(2015).pdf
    • 2015.The Linear Model and Hypothesis_ A General Unifying Theory(2015).pdf
    • 2015.Vector Generalized Linear and Additive Models_ With an Implementation in R(2015).pdf
    • 2016.Functional and Shape Data Analysis(2016).pdf
    • 2016.Modeling Discrete Time-to-Event Data(2016).pdf
    • 2016.Multivariate Analysis with LISREL.pdf
    • 2016.Prior Processes and Their Applications_ Nonparametric Bayesian Estimation(2016).pdf
  • 90.93 MB
  • 2017-9-15
  • Springer Series in Statistics(2005-2006).rar

    本附件包括:
    • 2005.Functional Data Analysis(2005).pdf
    • 2005.Inference in Hidden Markov Models(2005).djvu
    • 2005.Inference in Hidden Markov Models(2005).pdf
    • 2005.Models for Discrete Longitudinal Data(2005).pdf
    • 2005.Modern Multidimensional Scaling_ Theory and Applications, Second Edition(2005).pdf
    • 2005.Permutation, Parametric, and Bootstrap Tests of Hypotheses(2005).pdf
    • 2005.Statistical Demography and Forecasting-Springer (2005).pdf
    • 2006.A Modern Theory of Factorial Design (2006).pdf
    • 2006.An introduction to copulas(2006).pdf
    • 2006.Finite Mixture and Markov Switching Models(2006).pdf
    • 2006.Non-negative Matrices and Markov Chains(2006).djvu
    • 2006.Non-negative Matrices and Markov Chains(2006).pdf
    • 2006.Nonparametric Functional Data Analysis_ Theory and Practice(2006).pdf
    • 2006.Sampling Algorithms, 1st Ed (2006).pdf
    • 2006.Selected Papers of Frederick Mosteller(2006).pdf
    • 2006.Semiparametric Theory and Missing Data(2006).pdf
    • 2006.Statistical Analysis of Environmental Space-Time Processes(2006).pdf
    • 2006.Time Series_ Theory and Methods(2006).pdf
  • 68.89 MB
  • 2017-9-15
  • Springer Series in Statistics(1989-1991).rar

    本附件包括:
    • 1991.Time Series_ Theory and Methods(1991).pdf
    • 1988.Goodness-of-Fit Statistics for Discrete Multivariate Data (1988).djvu
    • 1988.Goodness-of-Fit Statistics for Discrete Multivariate Data (1988).pdf
    • 1989.Approximate Distributions of Order Statistics_ With Applications to Nonparametric Statistics(1989).pdf
    • 1989.Bayesian Forecasting and Dynamic Models (1989).pdf
    • 1990.A Statistical Model_ Frederick Mosteller’s Contributions to Sta.pdf
    • 1990.Asymptotics in Statistics_ Some Basic Concepts(1990).pdf
    • 1990.Nonlinear Estimation(1990).pdf
    • 1990.The Multivariate Normal Distribution(1990).djvu
    • 1991.Aspects of Risk Theory(1991).pdf
    • 1991.Continuous-Time Markov Chains_ An Applications-Oriented Approach(1991).pdf
    • 1991.Smoothing Techniques_ With Implementation in S(1991).pdf
  • 81.74 MB
  • 2017-9-15
  • Springer Series in Statistics(1979-1982).rar

    本附件包括:
    • 1979.Measures of Association for Cross Classifications(1979).pdf
    • 1980.Statistical Decision Theory Foundations, Concepts, and Methods(1980).pdf
    • 1981.Computing in Statistical Science through APL.pdf
    • 1981.Concepts of Nonparametric Theory(1981).pdf
    • 1981.Non-negative Matrices and Markov Chains(1981).pdf
    • 1981.Simultaneous Statistical Inference(1981).pdf
    • 1982.Applied Statistics_ A Handbook of Techniques(1982).pdf
    • 1982.Theory of Statistical Experiments(1982).pdf
  • 86.32 MB
  • 2017-9-15
  • Stochastic Modelling and Applied Probability(61-69缺少65).rar

    本附件包括:
    • (Stochastic Modelling and Applied Probability 69) Stochastic Differential Equations, Backward SDEs, Partial Differential Equations.pdf
    • (Stochastic Modelling and Applied Probability 61) Continuous-time Stochastic Control and Optimization with Financial Applications(2009).pdf
    • (Stochastic Modelling and Applied Probability 62) Continuous-Time Markov Decision Processes_ Theory and Applications(20.pdf
    • (Stochastic Modelling and Applied Probability 63) Hybrid Switching Diffusions_ Properties and Applications(2010).pdf
    • (Stochastic Modelling and Applied Probability 64) Numerical Solution of Stochastic Differential Equations with Jumps in Finance().pdf
    • (Stochastic Modelling and Applied Probability 66) Stochastic Stability of Differential Equations(2012).pdf
    • (Stochastic Modelling and Applied Probability 67) Discretization of Processes(2012).pdf
    • (Stochastic Modelling and Applied Probability 68) Stochastic Simulation and Monte Carlo Methods().pdf
  • 31.93 MB
  • 2017-9-13
  • Stochastic Modelling and Applied Probability(51-60).rar

    本附件包括:
    • (Stochastic Modelling and Applied Probability 61) Continuous-time Stochastic Control and Optimization with Financial Applications(2009).pdf
    • (Stochastic Modelling and Applied Probability 51) Applied Probability and Queues(2003).pdf
    • (Stochastic Modelling and Applied Probability 52) Stochastic Networks and Queues(2003).pdf
    • (Stochastic Modelling and Applied Probability 53) Monte Carlo Methods in Financial Engineering(2003).pdf
    • (Stochastic Modelling and Applied Probability 54) Average—Cost Control of Stochastic Manufacturing Systems(2005).pdf
    • (Stochastic Modelling and Applied Probability 55) Discrete-time Markov Chains_ Two-time-scale Methods and Applications(2005).pdf
    • (Stochastic Modelling and Applied Probability 56) Wave Propagation and Time Reversal in Randomly Layered Media.pdf
    • (Stochastic Modelling and Applied Probability 57) Stochastic simulation_ algorithms and analysis(2007).pdf
    • (Stochastic Modelling and Applied Probability 58) Stochastic Ordinary and Stochastic Partial Differential Equations.pdf
    • (Stochastic modelling and applied probability 59) Stochastic Control of Hereditary Systems and Applications(2008).pdf
    • (Stochastic modelling and applied probability 60) Fundamentals of stochastic filtering(2009).pdf
  • 57.52 MB
  • 2017-9-13
  • Stochastic Modelling and Applied Probability(41-50).rar

    本附件包括:
    • (Applications of Mathematics 50) Information-spectrum methods in information theory(2003).djvu
    • (Applications of Mathematics 41) Stochastic Models in Reliability(2013).pdf
    • (Applications of Mathematics 41) Stochastic models in reliability-Springer (1999).pdf
    • (Applications of Mathematics 42) Further Topics on Discrete-Time Markov Control Processes(1999).pdf
    • (Applications of Mathematics 43) Stochastic Controls_ Hamiltonian Systems and HJB Equations(19.pdf
    • (Applications of Mathematics 44) Introduction to Stochastic Networks(1999).pdf
    • (Applications of Mathematics 45) Stochastic Calculus and Financial Applications(2000).djvu
    • (Applications of Mathematics 45) Stochastic Calculus and Financial Applications(2000).pdf
    • (Applications of Mathematics 45) Stochastic calculus and financial applications(2001).djvu
    • (Applications of Mathematics 46) Fundamentals of Queueing Networks_ Performance, Asymptotics, and Optimization(2001).pdf
    • (Applications of Mathematics 47) Heavy Traffic Analysis of Controlled Queueing and Communication Networks(2001).pdf
    • (Applications of Mathematics 48) Stochastic Portfolio Theory(2002).pdf
    • (Applications of Mathematics 49) Two-Scale Stochastic Systems_ Asymptotic Analysis and Control(2003).pdf
  • 55.51 MB
  • 2017-9-13
  • Stochastic Modelling and Applied Probability(31-40).rar

    本附件包括:
    • (Applications of Mathematics 40) Random Walks in the Quarter-Plane_ Algebraic Methods, Boundary[1st Edition].pdf
    • (Applications of Mathematics 31) A Probabilistic Theory of Pattern Recognition(1996).pdf
    • (Applications of Mathematics 32) Discrete Gambling and Stochastic Games(1996).pdf
    • (Applications of Mathematics 33) Modelling Extremal Events_ for Insurance and Finance(1997).pdf
    • (Applications of Mathematics 34) Random Iterative Models-Springer-Verlag Berlin Heidelberg (1997).pdf
    • (Applications of Mathematics 35) Stochastic Approximation and Recursive Algorithms and Applications Applications of Mathematics(2003).pdf
    • (Applications of Mathematics 35) Stochastic Approximation and Recursive Algorithms and Applications(2010).pdf
    • (Applications of Mathematics 36) Martingale Methods in Financial Modelling(1997).pdf
    • (Applications of Mathematics 36) Martingale Methods in Financial Modelling(2009).pdf
    • (Applications of Mathematics 37) Continuous-Time Markov Chains and Applications_ A Singular Perturbation Approach(1998).pdf
    • (Applications of Mathematics 37) Continuous-Time Markov Chains and Applications_ A Two-Time-Scale Approach(2013).pdf
    • (Applications of mathematics 38) Large deviations techniques and applications(1998).djvu
    • (Applications of Mathematics 38) Large Deviations Techniques and Applications(2010).pdf
    • (Applications of Mathematics 39) Methods of mathematical finance(1999).pdf
    • (Applications of Mathematics 40) Random Walks in the Quarter Plane_ Algebraic Methods, Boundary Value Problems, Applications[2nd Edition].pdf
  • 92.88 MB
  • 2017-9-13
  • Stochastic Modelling and Applied Probability(21-30).rar

    本附件包括:
    • (Applications of Mathematics 30) Discrete-Time Markov Control Processes_ Basic Optimality Criteria-Springer-Verlag New York (1996).pdf
    • (Applications of Mathematics 21) Stochastic Integration and Differential Equations A New Approach(1990).pdf
    • (Applications of Mathematics 21) Stochastic Integration and Differential Equations(2003).pdf
    • (Applications of Mathematics 22) Adaptive Algorithms and Stochastic Approximations(1990).pdf
    • (Applications of Mathematics 23) Numerical solution of stochastic differential equations(1995).djvu
    • (Applications of Mathematics 24) Numerical Methods for Stochastic Control Problems in Continuous Time(1992).pdf
    • (Applications of Mathematics 24) Numerical Methods for Stochastic Control Problems in Continuous Time(2001).pdf
    • (Applications of mathematics 25) Controlled Markov Processes and Viscosity Solutions-Springer (2006).pdf
    • (Applications of Mathematics 26) Elements of Queueing Theory_ Palm Martingale Calculus and Stochastic Recurrences(2003).pdf
    • (Applications of Mathematics 27) Image Analysis, Random Fields and Dynamic Monte Carlo Methods_ A Mathematical Introduction(1995).djvu
    • (Applications of Mathematics 28) Cycle Representations of Markov Processes(1995).pdf
    • (Applications of Mathematics 28) Cycle Representations of Markov Processes(2010).pdf
    • (Applications of Mathematics 29) Hidden Markov models_ estimation and control(1995).pdf
  • 81.28 MB
  • 2017-9-13
  • Lecture Notes in Statistics 191-200.rar

    本附件包括:
    • (Lecture Notes in Statistics 200) Dependence in Probability and Statistic.pdf
    • (Lecture Notes in Statistics 191) Semi-Markov Chains and Hidden Semi-Markov Models toward Applications_ Their use in Reliability and DNA Analysis.pdf
    • (Lecture Notes in Statistics 192) Random Effect and Latent Variable Model Selection-Springer-Verlag New York (2008).pdf
    • (Lecture Notes in Statistics 193) Deconvolution Problems in Nonparametric Statistics-Springer-Verlag Berlin Heidelberg (2009).pdf
    • (Lecture Notes in Statistics 194) Permutation Tests for Stochastic Ordering and ANOVA_ Theory and Applications with R-Springer-Verlag.pdf
    • (Lecture Notes in Statistics 195) Computation of Multivariate Normal and t Probabilities(2009).pdf
    • (Lecture Notes in Statistics 196) Advances in Social Science Research Using R-Springer-Verlag New York (2010).pdf
    • (Lecture Notes in Statistics 197) Vladimir Vatutin (auth.), Miguel González Velasco, Inés M. Puerto, Rodrigo Martínez, Manuel Molina, Manuel Mota, Alfonso Ramos (eds.)-Workshop on Branching Processes .pdf
    • (Lecture Notes in Statistics 198) Copula Theory and Its Applications_ Proceedings o.pdf
    • (Lecture Notes in Statistics 199) Multivariate Nonparametric Methods with R_ An approach based on spatial signs and ranks-Springer-Verlag New York (2010).pdf
  • 22.4 MB
  • 2017-9-9
  • Lecture Notes in Statistics 81-90.rar

    本附件包括:
    • (Lecture Notes in Statistics 90) Attila Csenki (auth.)-Dependability for Systems with a Partitioned State Space_ Markov and Semi-Markov Theory and Computational Implementation-Springer-Verlag New York.pdf
    • (Lecture Notes in Statistics 81) Peter Spirtes, Clark Glymour, Richard Scheines (auth.)-Causation, Prediction, and Search-Springer-Verlag New York (1993).pdf
    • (Lecture Notes in Statistics 82) A. P. Korostelev, A. B. Tsybakov (auth.)-Minimax Theory of Image Reconstruction-Springer-Verlag New York (1993).pdf
    • (Lecture Notes in Statistics 83) Case Studies in Bayes.pdf
    • (Lecture Notes in Statistics 84) Sakutarō Yamada (auth.)-Pivotal Measures in Statistical Experiments and Sufficiency-Springer-Verlag New York (1994).pdf
    • (Lecture Notes in Statistics 85) Paul Doukhan (auth.)-Mixing_ Properties and Examples-Springer-Verlag New York (1994).djvu
    • (Lecture Notes in Statistics 86) Werner Vach (auth.)-Logistic Regression with Missing Values in the Covariates-Springer-Verlag New York (1994).pdf
    • (Lecture Notes in Statistics 87) Jesper M?ller (auth.)-Lectures on Random Voronoi Tessellations-Springer-Verlag New York (1994).pdf
    • (Lecture Notes in Statistics 88) John E. Kolassa (auth.)-Series Approximation Methods in Statistics-Springer New York (1994).pdf
    • (Lecture Notes in Statistics 88) John E. Kolassa (auth.)-Series Approximation Methods in Statistics-Springer New York (1997).pdf
    • (Lecture Notes in Statistics 88) Series Approximation Methods in Statistics -Springer (2006).pdf
    • (Lecture Notes in Statistics 89) D. J. Hand (auth.), P. Cheeseman, R. W. Oldford (eds.)-Selecting Models from Data_ Artificial Intelligence and Statistics IV-Springer-Verlag New York (1994).pdf
  • 62.08 MB
  • 2017-9-9
  • Discrete-Time.Markov.Jump.Linear.Systems.rar

    本附件包括:
    • Discrete-Time.Markov.Jump.Linear.Systems.pdf
  • 5.2 MB
  • 2017-9-5
  • 2013-Continuous-Time Markov Jump Linear Systems.rar

    本附件包括:
    • 2013-Continuous-Time Markov Jump Linear Systems.pdf
  • 2.32 MB
  • 2017-9-5
  • Kai Lai Chung Markov chains with stationary transition probabilities Die Grundle.rar

    本附件包括:
    • Kai Lai Chung Markov chains with stationary transition probabilities Die Grundlehren der mathematischen Wissenschaften in Einzeldarstellungen Band 104.djvu
  • 6.52 MB
  • 2017-6-13
  • 金融工程.rar

    本附件包括:
    • 3 markov.ppt
    • 4-随机分析-均方微分.ppt
    • 5内在价值p18.ppt
    • 5-平稳过程.ppt
    • 6区别.ppt
    • 7-维纳.ppt
    • 8-随机积分.ppt
    • 9-随机微分.ppt
    • 10-偏微分.ppt
    • 备兑开仓.ppt
    • 备兑开仓策略2.ppt
    • 对冲.ppt
    • 风险.ppt
    • 个股期权.doc
    • 国际金融创新.doc
    • 基本术语.ppt
    • 金融创新的历史调查.doc
    • 买入期权的策略.ppt
    • 卖出策略.ppt
    • 卖出开仓.ppt
    • 内在价值.ppt
    • 牛市策略.ppt
    • 盘整行情.ppt
    • 期权概念.ppt
    • 期权合约的基本要素.ppt
    • 期权历史.ppt
    • 区别.ppt
    • 上证50etf基本条款.doc
    • 熊市策略.ppt
    • 0 期权概念.ppt
    • 1.基础知识.ppt
    • 1——1.ppt
    • 1期权历史.ppt
    • 2 基本术语p16.ppt
    • 2-随机过程的基本概念.ppt
    • 3 期权合约的基本要素p11.ppt
    • 4买入期权的策略p3-7.ppt
  • 32.57 MB
  • 2017-5-23
  • GTM-18.zip

    本附件包括:
    • 223 Vretblad. Fourier Analysis and Its Applications..pdf
    • 224.Metric.Structures.in.Differential.Geometry,.Walschap,.G.,.(2004,.ISBN.978-0-387-20430-7).pdf
    • 225 Bump. Lie Groups..djvu
    • 226 Zhu. Spaces of Holomorphic Functions in the Unit Ball.[单位球内的全纯函数空间].pdf
    • 227 Miller,Sturmfels. Combinatorial Commutative Algebra..pdf
    • 228 Diamond,Shurman. A First Course in Modular Forms.[模形式初级教程].pdf
    • 229 Eisenbud. The Geometry of Syzygies.[合冲几何].pdf
    • 230 Stroock. An Introduction to Markov Processes.[马尔可夫过程引论].pdf
    • 231 Bjorner,Brenti. Combinatories of Coxeter Groups.[Coxeter群的组合学].pdf
    • 232 Everest,Ward. An Introduction to Number Theory..pdf
    • 233 Albiac,Kalton. Topics in Banach Space Theory.[Banach空间理论选题].pdf
    • 234 Jorgenson. Analysis and Probability:Wavelets, Signals, Fractals..djvu
    • 234 Jorgenson. Analysis and Probability:Wavelets, Signals, Fractals..pdf
    • 235 Sepanski. Compact Lie Groups.[紧致李群].pdf
  • 42.88 MB
  • 2017-1-31
  • Numerical Methods for Simulation and Optimization of Piecewise Deterministic Mar.zip

    本附件包括:
    • Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes.pdf
  • 11.2 MB
  • 2017-1-25
  • Markov Bases in Algebraic Statistics.zip

    本附件包括:
    • Markov Bases in Algebraic Statistics.pdf
  • 4.64 MB
  • 2017-1-9
  • Martingales and Markov Chains (pdf).zip

    本附件包括:
    • Martingales and Markov Chains_Solved Exercises and Elements of Theory.pdf
  • 2.9 MB
  • 2016-12-21
  • Martingales and Markov Chains (djvu).zip

    本附件包括:
    • Martingales and Markov Chains_Solved Exercises and Elements of Theory.djvu
  • 1.46 MB
  • 2016-12-21
  • Martingales and Markov Chains (pdf djvu).zip

    本附件包括:
    • Martingales and Markov Chains_Solved Exercises and Elements of Theory.pdf
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  • 2016-12-21
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  • 2016-12-9
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    • Chapter_14_Multicriteria_Decisions.docx
    • Chapter_15_Time_Series_Analysis_and_Forecasting.docx
    • Chapter_16_Markov_Processes.docx
    • Chapter_17_Linear_Programming_Simplex_Method.docx
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    • Chapter_5_Advanced_Linear_Programming_Applications.docx
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    • Chapter_7_Integer_Linear_Programming.docx
    • Chapter_8_Nonlinear_Optimization_Models.docx
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  • 2016-9-23
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  • 2016-7-15
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  • 1 KB
  • 2016-6-22
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  • 2016-1-4
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  • 2015-10-4
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  • 2015-9-11
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  • 4.39 MB
  • 2015-9-4
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  • 2015-7-19
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    • Understanding Markov Chains Examples and Applications.pdf
  • 2.39 MB
  • 2015-5-22
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  • 2015-5-22
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       MS

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  • 2015-5-12
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