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  • The Inverse Gaussian Distribution(1999, Springer).zip
       你要的书，解压后使用

    本附件包括：
    • The Inverse Gaussian Distribution_ Statistical Theory and Applications (1999, Springer).pdf
  • 24.24 MB
  • 2023-11-27

  • Taylor_&_Francis_Articles(11Nov2023) (3).zip

    本附件包括：
    • 00-Latent Gaussian Count Time Series.pdf
  • 994.81 KB
  • 2023-11-12

  • Continuous Time Processes for Finance.rar
       金融连续时间处理

    本附件包括：
    • CH 7 Gaussian Fields for Asset Prices.pdf
    • 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 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

  • gaussian高斯.rar
       gaussian高斯

    本附件包括：
    • 如何阅读高斯的计算输出文件.pdf
    • 高斯算法拓展性课程编写思路汇编.doc
    • 高斯速算等差数列求和.doc
    • 奥数教案-第一章-高斯算法.doc
    • 奥数讲座(1)高斯算法.pdf
  • 344.04 KB
  • 2023-4-9

  • 高斯gaussian.rar
       高斯

    本附件包括：
    • Gaussian03学习笔记（一）.TXT
    • Gaussian 09 使用手册.doc
    • Gaussian计算中分子总能量各项的意义.pdf
    • Gaussian中分子的几何构型.pdf
    • Gaussian并行计算的简单实现.pdf
    • GaussView高级技巧 (1).pdf
  • 1.91 MB
  • 2023-4-9

  • (2007)Financial Modeling Under Non-Gaussian Distributions_Eric Jondeau, Ser-Huan.rar

    本附件包括：
    • (2007)Financial Modeling Under Non-Gaussian Distributions_Eric Jondeau, Ser-Huang Poon, Michael Rockinger.pdf
  • 5.57 MB
  • 2018-11-1

  • Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance.zip

    本附件包括：
    • Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance.djvu
  • 13.09 MB
  • 2018-8-4

  • MATLABCODES.zip

    本附件包括：
    • mem.m
    • art.m
    • avq.m
    • backpropagation.m
    • bam.m
    • bayesboundary.m
    • boltzmann.m
    • bsb.m
    • fuzzy.m
    • hopfield.m
    • linearnonsepsvm.m
    • linearsvm.m
    • alphalms.m
    • mexicanhat.m
    • mulms.m
    • nonlinearsvm.m
    • ojaalgorithm.m
    • perceptron.m
    • posteriorprobs.m
    • randomize.m
    • rbfnapproximation.m
    • rbfninterpolation.m
    • regularization.m
    • samplegaussian.m
    • sofm.m
    • steepestdescent.m
  • 24.84 KB
  • 2018-7-21

  • Stable Non-Gaussian Random Processes.zip

    本附件包括：
    • Stable Non-Gaussian Random Processes.djvu
  • 13.09 MB
  • 2018-5-28

  • Springer Series in Statistics(2000-2001B).rar

    本附件包括：
    • 2000.Gaussian and Non-Gaussian Linear Time Series and Random Fields(2000).pdf
    • 2000.Asymptotic Theory of Statistical Inference for Time Series(2000).djvu
    • 2000.Asymptotics in Statistics_ Some Basic Concepts(2000).pdf
    • 2000.Linear Mixed Models for Longitudinal Data -Springer (2000).pdf
    • 2000.Monte Carlo Methods in Bayesian Computation-Springer-Verlag New York (2000).pdf
    • 2000.Permutation Tests_ A Practical Guide to Resampling Methods for Testing Hypotheses(2000).pdf
    • 2000.Robust Diagnostic Regression Analysis(2000).pdf
    • 2000.Statistical Inference in Science(2000).pdf
    • 2001.An Introduction to Statistical Modeling of Extreme Values(2001).pdf
    • 2001.Annotated Readings in the History of Statistics(2001).pdf
    • 2001.Bayesian Survival Analysis(2001).djvu
  • 86.6 MB
  • 2017-9-15

  • Stochastic Modelling and Applied Probability(1-10缺少2).rar

    本附件包括：
    • (Applications of Mathematics 9) Gaussian Random Processes(1978).djvu
    • (Applications of Mathematics 10) Linear Multivariable Control_ A Geometric Approach(1985).djvu
    • (Applications of Mathematics 1) Deterministic and Stochastic Optimal Control(1975).pdf
    • (Applications of Mathematics 3) Applied Functional Analysis(1981).djvu
    • (Applications of Mathematics 4) Stochastic Processes in Queueing Theory(1976).djvu
    • (Applications of Mathematics 5) Statistics of Random Processes I_ General Theory(1977).pdf
    • (Applications of Mathematics 5) Statistics of Random Processes_ I. General Theory(2001).djvu
    • (Applications of Mathematics 6) Statistics of Random Processes II_ Applications(1978).pdf
    • (Applications of Mathematics 6) Statistics of Random Processes_ II. Applications(2001).pdf
    • (Applications of Mathematics 7) Game Theory_ Lectures for Economists and Systems Scientists(1977).djvu
    • (Applications of Mathematics 8) Optimal Stopping Rules(1978).pdf
    • (Applications of Mathematics 8) Optimal stopping rules(2008).djvu
    • (Applications of Mathematics 10) Linear Multivariable Control_ a Geometric Approach(1979).pdf
  • 72.12 MB
  • 2017-9-13

  • Lecture Notes in Statistics 131-140.rar

    本附件包括：
    • (Lecture Notes in Statistics 137) V. Seshadri (auth.)-The Inverse Gaussian Distribution_ Statistical Theory and Applications-Springer-Verlag New York (1999).pdf
    • (Lecture Notes in Statistics 140) Case Studies in Bayesian Statistics Volume IV.pdf
    • (Lecture Notes in Statistics 131) Joel L. Horowitz (auth.)-Semiparametric Methods in Econometrics-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 132) Lawrence H. Cox, Douglas Nychka (auth.), Douglas Nychka, Walter W. Piegorsch, Lawrence H. Cox (eds.)-Case Studies in Environmental Statistics-Springer-Verlag New York.pdf
    • (Lecture Notes in Statistics 133) Michael D. Escobar, Mike West (auth.), Dipak Dey, Peter Müller, Debajyoti Sinha (eds.)-Practical Nonparametric and Semiparametric Bayesian Statistics-Springer-Verlag .pdf
    • (Lecture Notes in Statistics 134) Yu. A. Kutoyants (auth.)-Statistical Inference for Spatial Poisson Processes-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 135) Christian P. Robert, Sylvia Richardson (auth.), Christian P. Robert (eds.)-Discretization and MCMC Convergence Assessment-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 136) Gregory C. Reinsel, Raja P. Velu (auth.)-Multivariate Reduced-Rank Regression_ Theory and Applications-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 138) József Beck (auth.), Peter Hellekalek, Gerhard Larcher (eds.)-Random and Quasi-Random Point Sets-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 139) Roger B. Nelsen (auth.)-An Introduction to Copulas-Springer New York (1999).pdf
  • 83.75 MB
  • 2017-9-9

  • Lecture Notes in Statistics 161-170.rar

    本附件包括：
    • (Lecture Notes in Statistics 169) Yu. I. Ingster, Irina A. Suslina (auth.)-Nonparametric Goodness-of-Fit Testing Under Gaussian Models-Springer-Verlag New York (2003).pdf
    • (Lecture Notes in Statistics 170) Tadeusz Caliński, Sanpei Kageyama (auth.)-Block Designs_ A Randomization Approach_ Volume II_ Design-Springer-Verlag New York (2003).pdf
    • (Lecture Notes in Statistics 161) Maarten Jansen (auth.)-Noise Reduction by Wavelet Thresholding-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 162) John Barnard, Constantine Frangakis, Jennifer Hill, Donald B. Rubin (auth.), Constantine Gatsonis, Robert E. Kass, Bradley Carlin, Alicia Carriquiry, Andrew Gelman, I.pdf
    • (Lecture Notes in Statistics 163) Erkki P. Liski, Nripes K. Mandal, Kirti R. Shah, Bikas K. Sinha (auth.)-Topics in Optimal Design-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 164) Peter Goos (auth.)-The Optimal Design of Blocked and Split-Plot Experiments-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 165) Karl Mosler (auth.)-Multivariate Dispersion, Central Regions, and Depth_ The Lift Zonoid Approach-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 166) Hira L. Koul (auth.)-Weighted Empirical Processes in Dynamic Nonlinear Models-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 168) Susanne Rassler (auth.)-Statistical Matching_ A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches-Springer-Verlag New York (2002).pdf
  • 81.34 MB
  • 2017-9-9

  • Lecture Notes in Statistics 1-10.rar

    本附件包括：
    • (Lecture Notes in Statistics 9) Statistical Properties of the Generalized Inverse Gaussian Distribution(1982).pdf
    • (Lecture Notes in Statistics 10) Fitting Linear Models_ An Application of Conjugate Gradient Algorithms(1982).pdf
    • (Lecture Notes in Statistics 1) An Appreciation-Springer-Verlag New York (1980).pdf
    • (Lecture Notes in Statistics 2) Mathematical Statistics and Probability Theory_ Proceedings, Sixth International Conf.pdf
    • (Lecture Notes in Statistics 3) Benefit-Cost Analysis of Data Used to Allocate Funds-Springer-Verlag New York (1980).pdf
    • (Lecture Notes in Statistics 4) Stochastic Monotonicity and Queueing Applications of Birth-Death Processes-Springer-Verlag New York (1981).pdf
    • (Lecture Notes in Statistics 5) Stationary Random Processes Associated with Point Processes(1981).pdf
    • (Lecture Notes in Statistics 6) Shanti S. Gupta, Deng-Yuan Huang (auth.)-Multiple Statistical Decision Theory_ Recent Developments-Springer-Verlag New York (1981).pdf
    • (Lecture Notes in Statistics 7) Asymptotic Efficiency of Statistical Estimators_ Concepts and Higher Order Asymptotic Efficiency(1981).pdf
    • (Lecture Notes in Statistics 8) The First Pannonian Symposium on Mathematical Statistics(1981).pdf
  • 54.64 MB
  • 2017-9-9

  • Gaussian Processes on Trees_From Spin Glasses to Branching Brownian Motion.zip

    本附件包括：
    • Gaussian Processes on Trees_From Spin Glasses to Branching Brownian Motion.pdf
  • 1.79 MB
  • 2017-1-12

  • supplementary.zip

    本附件包括：
    • AUC.Rdata
    • make.DV.r
    • boot.both.Rdata
    • bootstrap.specification2.r
    • AUC.figure.r
    • c.product.r
    • make.DV.EHA.r
    • figure.B5.r
    • time.para.dif.figure.r
    • copula.associate.unit.r
    • e.logistic.r
    • c.fgm.r
    • MC.figure.background.r
    • COEHA.r
    • cgs_mult.dta
    • time.para.background.r
    • e.probit.r
    • time.para.count.unit.r
    • do.MC.unit.publish.EHA.r
    • c.frank.r
    • multinom.robust.sde.0.1-0.r
    • cox.r
    • figure.unit.r
    • unit.r
    • copula.sample.r.r
    • appendices.pdf
    • starter.Rdata
    • figure.first.difference.unit.r
    • AUC.background.r
    • MC.figure.draw.unit.r
    • AUC.unit.r
    • bootstrap.specification3.r
    • c.amh.r
    • MC.unit.publish.r
    • c.gaussian.r
    • AUC.functions.r
    • t.gamma.r
    • bootstrap.specification1.r
    • MC.publish.EHA.Rdata
    • AIC.logit.Rdata
    • CGS.setup.r
    • c.trig.r
    • AIC.probit.r
    • analyze.specification3.r
    • figure.probabilities.r
    • MC.figure.draw.background.r
    • MNL.r
    • AUC.r
    • readme.txt
    • MC.figure.dif.background.count.time.both.r
    • MC.figure.functions.r
    • slide.r
    • analyze.MC.r.r
    • MC.unit.publish.EHA.r
    • image.r
    • c.gumbel.barnett.r
    • make.covariates.simple.r
    • AIC.logit.r
    • do.MC.unit.publish.r
    • COEHA.cox.r
    • short.censor.time.r
    • time.para.r
    • e.normal.r
    • boot.four.Rdata
    • figure.functions.3rd.r
    • boot.Rdata
    • MC.setup.r
    • MC.figure.control.r
    • t.log.logistic.r
    • MC.figure.treat.r
    • MC.figure.dif.background.count.time.e.only.r
    • AIC.summarize.r
    • analyze.specification1.r
    • AIC.probit.Rdata
    • time.para.unit.r
    • c.clayton.r
    • c.gumbel.hougaard.r
    • MC.normal.Rdata
    • MC.figure.dif.count.time.r
    • do.MC.unit.publish.EHA.censor.r
    • basic.functions.r
    • copula.sample.unit.r
    • t.weibull.r
    • MC.censor.Rdata
    • t.log.normal.r
    • analyze.specification2.r
  • 24.13 MB
  • 2015-5-9

  • Semiparametric Gaussian copula models： Geometry and efficient rank-based estimation.zip

    本附件包括：
    • Semiparametric Gaussian copula models： Geometry and efficient rank-based estimation.pdf
  • 332.09 KB
  • 2014-12-8

  • Multivariate inverse Gaussian and skew-normal densities.zip

    本附件包括：
    • Multivariate inverse Gaussian and skew-normal densities.pdf
  • 204.07 KB
  • 2013-1-23

  • Wiener Chaos Moments,Cumulants and Diagrams.rar

    本附件包括：
    • From Gaussian measures to isonormal Gaussian processes.pdf
    • Limit theorems on the Gaussian Wiener chaos.pdf
    • front-matter.pdf
    • The lattice of partitions of a finite set.pdf
    • Combinatorial expressions of cumulants and moments.pdf
    • Diagrams and multigraphs.pdf
    • Wiener It integrals and Wiener chaos.pdf
    • Multiplication formulae.pdf
    • Diagram formulae.pdf
    • Hermitian random measures and spectral representations.pdf
    • Some facts about Charlier polynomials.pdf
    • CLTs in the Poisson case the case of double integrals.pdf
    • back-matter.pdf
    • Introduction.pdf
  • 2.52 MB
  • 2012-10-8

  • 归档.zip

    本附件包括：
    • Normal Inverse Gaussian distribution.pdf
    • calculating power of the J.pdf
    • calculating true size for the J0.pdf
    • GARCH standarderror.pdf
    • implied volatility.pdf
    • Kernel Regression Example density chi square.pdf
    • Kernel Regression Example.pdf
    • Manto Carlo simulation.pdf
    • Nonlineariality.pdf
    • sign test.pdf
    • SIMULATING LOSS distribution-VAR-Expected shortfall.pdf
    • SIMULATING LOSS DISTRIBUTIONs INVESTIGATING THE QUALITY OF THE DELTA APPROXIMATION.pdf
    • simulation of VAR and ES.pdf
  • 527.11 KB
  • 2012-5-20

  • gauss.pdf
       The Multivariate Gaussian Distribution-多元高斯分布

  • 243.7 KB
  • 2012-3-31

  • Lectures on Gaussian Processes.rar
       springer新书

    本附件包括：
    • back-matter.pdf
    • front-matter.pdf
    • fulltext.pdf
  • 3.62 MB
  • 2012-1-18

  • Copula.zip
       Copula Function

    本附件包括：
    • GaussianCopula.m
    • TCopula.m
  • 561 Bytes
  • 2011-9-9

  • CR-Coursework3.rar

    本附件包括：
    • GaussianCopula.m
    • Default.m
    • Prob.m
    • TCopula.m
  • 841 Bytes
  • 2011-9-9

  • igaussian.rar

    本附件包括：
    • chap08_ex1_igaussian.odc
  • 2.42 KB
  • 2011-8-20

  • Pinggu_REF.rar

    本附件包括：
    • Sargan & Bhargava_1983_Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk.pdf
  • 350.68 KB
  • 2011-5-27

  • Data Mining课件.zip

    本附件包括：
    • Multivariate Gaussian.pdf
    • conditional_independence.pdf
    • discrete_and_linear_gaussian_models.pdf
    • em_for_bayesian_regression.pdf
    • em_in_general.pdf
    • factor_graphs_and_the_sum_product_algorithm.pdf
    • graphical_model_notation.pdf
    • inference_on_a_chain.pdf
    • Introduction.pdf
    • LDA.pdf
    • Markov_Chain_Monte_Carlo.pdf
    • markov_random_fields.pdf
    • mixture_models_and_em_for_gmm.pdf
    • sampling_basic.pdf
    • sum_and_product_rules.pdf
    • varitional_inference.pdf
    • vb_2d_gaussian.pdf
    • vb_gmm.pdf
    • vb_usage.pdf
  • 28.6 MB
  • 2011-4-3

  • Bayesian analysis and MCMC 4.zip

    本附件包括：
    • Inference With Non-Gaussian Ornstein-Uhlenbeck Processes.pdf
    • Discrete-Time Stochastic Volatili.pdf
    • discussion of MCMC-based inference by R.pdf
    • Estimation of Stochastic Volatility Models- An.pdf
    • LectureNotes_6 MCMC.pdf
    • marginal likelihood from Gibbs output.pdf
    • marginal likelihood from metropolis-hasting output.pdf
    • Markov Chain Monte Carlo for Statistical Inference.pdf
    • Markov Chain Monte Carlo Methods for Bayesian Analysis.pdf
    • Markov Chain Monte Carlo methods for Generalized Stochastic Volatility Models.pdf
    • markov chain monte carlo simulation methods in econometrics.pdf
    • Markov Chains for Exploring Posterior Distributions Luke Tierney.pdf
  • 5.12 MB
  • 2010-9-5

  • Bayesian analysis and MCMC 2.zip

    本附件包括：
    • monte carlo integration with markov chain.pdf
    • Monte carlo methods and bayesian computation.pdf
    • monte carlo sampling using markov chain and their applications.pdf
    • On leverage in a stochastic volat.pdf
    • on mcmc method for nonlinear and non-gaussian state-space model.pdf
    • PARAMETER ESTIMATION IN STOCHASTI.pdf
    • Parameterisation and Efficient MC.pdf
    • Probabilistic Inference Using MCMC.pdf
    • Robust Bayesian Analysis of Heavy.pdf
    • Simulation and Monte Carlo with Applications,Dagpunar - John Wiley.pdf
    • Stochastic Volatility- Likelihood Inference and Comparison with ARCH Models.pdf
    • student-seminar.pdf
    • The Calculation of Posterior Distributions by Data Augmentation .pdf
  • 15.74 MB
  • 2010-9-5

  • 001.rar

    本附件包括：
    • focal_point.pot
    • geo_swirl.pot
    • festive_festivity.pot
    • glass_signature.pot
    • crimson_landscape.pot
    • digital_rapture.pot
    • frosted_glass.pot
    • gaussian_reflection.pot
    • crisp_cardboard.pot
    • delta_gamma.pot
  • 4.8 MB
  • 2010-5-3

  • 325032.pdf
       Financial Modeling Under Non-Gaussian Distribution ebook

  • 6.19 MB
  • 2009-5-13

  • 317346.rar
       [分享]Financial Modeling Under Non-Gaussian Distributions

  • 7.96 MB
  • 2009-4-20

  • 273278.pdf
       [下载][下载][原创][下载]Financial Modeling Under Non-Gaussian Distributions

  • 5.95 MB
  • 2008-12-4

  • 272814.pdf
       [下载][下载][原创][下载]Financial Modeling Under Non-Gaussian Distributions

  • 5.95 MB
  • 2008-12-3

  • 272811.pdf
       [下载][原创][下载]Financial Modeling Under Non-Gaussian Distributions

  • 5.95 MB
  • 2008-12-3

  • 245923.pdf
       [求助]请帮忙下载Solving Asset Pricing Models with Gaussian Shocks

  • 566.1 KB
  • 2008-9-11

  • 222805.rar
       Term Structure Modeling and Estimation in a State Space Framework

    本附件包括：
    • 6.State Space Models with a Gaussian Mixture.pdf
    • 7.Simulation Results for the Mixture Model.pdf
    • 8.Estimation of Term Structure Models in a State.pdf
    • 9.An Empirical Application.pdf
    • 10.Summary and Outlook.pdf
    • front-matter.pdf
    • Properties of the Normal Distribution.pdf
    • 1.Introduction.pdf
    • 1.The Term Structure of Interest Rates.pdf
    • 2.Discrete-Time Models of the Term Structure.pdf
    • 4.Continuous-Time Models of the Term Structure.pdf
    • 5.state Space Models.pdf
  • 8.3 MB
  • 2008-6-26

  • 191415.pdf
       Gaussian Processes for Machine Learning

  • 2.68 MB
  • 2008-1-30

  • 177244.rar
       [下载]Financial Modeling Under Non-Gaussian Distributions - Jondeau

    本附件包括：
    • Jondeau_Poon_Rockinger-Financial_Modeling_Under_Non-Gaussian_Distributions.pdf
  • 5.4 MB
  • 2007-11-26

  • 112654.rar
       利率模型

    本附件包括：
    • Gaussian Estimation of Single-Factor Continuous Time Models of the Term.pdf
    • Multi-Factor Term Structure Models.pdf
    • Nonparametric Modeling of U.S. Interest Rate Term Structure Dynamics and Implications on the Prices of Derivative Securities.pdf
    • The Stochastic Volatility of Short-Term Interest Rates-Some International Evidence.pdf
  • 1.43 MB
  • 2007-5-1

  • 80561.rar
       Cumulative Distribution Function of CDO Loan Portfolio Loss in the Gaussian Factor Model

    本附件包括：
    • Cumulative Distribution Function of CDO Loan Portfolio Loss in the Gaussian Factor Model.m
  • 1.39 KB
  • 2006-12-26

  • 80555.rar
       Computes Cumulative Distribution Function of CDO Loan Portfolio Loss in the Gaussian Fact

    本附件包括：
    • Cumulative Distribution Function of CDO Loan Portfolio Loss in the Gaussian Factor Model.m
  • 1.39 KB
  • 2006-12-26
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