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  • Statistical Learning From A Regression Perspective (2020, Springer) .rar
       正经第三版

    本附件包括：
    • Statistical Learning From A Regression Perspective (2020, Springer) .pdf
  • 7.93 MB
  • 2023-2-26

  • JamesWitten_2013_.pdf
       An introduction to statistical learning: with applications in R

  • 10.74 MB
  • 2023-2-5

  • ISL with R v2.zip
       Introduction to Statistical Learning with R v2

    本附件包括：
    • ISL-Introduction to Statistical Learning with Rv2.pdf
    • ISL-Introduction to Statistical Learning with Rv2.pdf
  • 19.15 MB
  • 2022-6-5

  • PATextbook.zip
       PA Text Books

    本附件包括：
    • An Introduction to Statistical Learning with Applications in R-Springer (2015).pdf
    • Data Visualization - A Practical Introduction-Princeton University Press (2019).pdf
    • R for Everyone - Advanced Analytics and Graphics-Addison-Wesley.pdf
    • R Markdown The Definitive Guide.pdf
    • Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science) by Edward W. Frees (z-lib.org).pdf
  • 38.1 MB
  • 2021-11-16

  • (2016)Statistical Learning from a Regression Perspective__2nd__Richard A. Berk.rar

    本附件包括：
    • (2016)Statistical Learning from a Regression Perspective__2nd__Richard A. Berk.pdf
  • 5.22 MB
  • 2018-11-4

  • (2013)An Introduction to Statistical Learning with Applications in R__1st__Garet.rar

    本附件包括：
    • (2013)An Introduction to Statistical Learning with Applications in R__1st__Gareth James, Daniela Witten.pdf
  • 7.12 MB
  • 2018-11-4

  • SRM 参考教材 考纲 样题.zip

    本附件包括：
    • Regression Modeling with Actuarial and Financial Applications.pdf
    • SRM Sample Questions.pdf
    • SRM Syllabi.pdf
    • An Introduction to Statistical Learning with Applications in R.pdf
  • 11.62 MB
  • 2018-7-9

  • SRM教材.rar
       Regression Modeling & Statistical Learning

    本附件包括：
    • Regression Modeling with Actuarial and Financial Applications.pdf
    • ISLR Seventh Printing.pdf
  • 11.34 MB
  • 2018-7-5

  • ML 1.zip

    本附件包括：
    • An Introduction to Statistical Learning.pdf
    • Applied Predictive Modeling.pdf
    • Machine Learning_ A Bayesian and Optimization Perspective.pdf
    • Pattern Recognition And Machine Learning.pdf
    • The Elements of Statistical Learning.pdf
  • 75.11 MB
  • 2018-5-31

  • High-Dimensional Statistics.zip

    本附件包括：
    • Introduction to High-Dimensional Statistics.pdf
    • Statistical Learning with Sparsity The Lasso and Generalizations.pdf
    • Statistics for High-Dimensional Data.pdf
  • 20.53 MB
  • 2018-5-31

  • 数据An Introduction to Statistical Learning with Applications in R.zip
       数据集

    本附件包括：
    • Advertising.csv
    • Auto.csv
    • Auto.data
    • Ch10Ex11.csv
    • College.csv
    • Credit.csv
    • Heart.csv
    • Income1.csv
    • Income2.csv
  • 230.71 KB
  • 2018-5-9

  • The Elements of Statistical Learning(2nd).zip

    本附件包括：
    • The Elements of Statistical Learning(2nd).pdf
  • 7.22 MB
  • 2018-4-8

  • EXAM SRM.zip

    本附件包括：
    • 293316779-Edward-W-Frees-Regression-Modeling-With-Actuarial-and-Financial-Applications-2009.pdf
    • An Introduction to Statistical Learning with Applications in R.pdf
  • 11.46 MB
  • 2018-1-16

  • Data mining.zip

    本附件包括：
    • The Elements of Statistical Learning Data Mining, Inference, and Prediction -2nd-2008.pdf
    • Understanding Machine Learning From Theory to Algorithms-2014.pdf
  • 22.48 MB
  • 2017-10-8

  • Springer Series in Statistics(2009-2011).rar

    本附件包括：
    • 2011.Targeted Learning_ Causal Inference for Observational and Experimental Data(2011).pdf
    • 2009.Introduction to Nonparametric Estimation(2010).pdf
    • 2009.Maximum Penalized Likelihood Estimation_ Volume II_ Regression(2009).pdf
    • 2009.Monte carlo and quasi-monte carlo sampling(2009).pdf
    • 2009.Principles and Theory for Data Mining and Machine Learning(2009).pdf
    • 2009.Semiparametric and Nonparametric Methods in Econometrics(2009).pdf
    • 2009.Statistical Analysis of Network Data_ Methods and Models(2009).pdf
    • 2009.Statistical Analysis of Network Data_ Methods and Models-Springer (2009).djvu
    • 2009.The Elements of Statistical Learning_ Data Mining, Inference, and Prediction, Second Ed.pdf
    • 2010.A Comparison of the Bayesian and Frequentist Approaches to Estimation(2010).pdf
    • 2010.Comparing Distributions(2010).pdf
    • 2010.Design of observational studies(2010).pdf
    • 2010.Recursive Partitioning and Applications(2010).pdf
    • 2010.Spatial statistics and modeling(2010).pdf
    • 2010.Spectral Analysis of Large Dimensional Random Matrices.pdf
    • 2011.Dynamic Mixed Models for Familial Longitudinal Data, Springer, 2011.pdf
    • 2011.Inequalities_ Theory of majorization and its applications(2011).pdf
    • 2011.Statistics for High-Dimensional Data_ Methods, Theory and Applications(2011).pdf
  • 83.7 MB
  • 2017-9-15

  • Springer Series in Statistics(2007-2008).rar

    本附件包括：
    • 2007.Correlated Data Analysis_ Modeling, Analytics, and Applications(2007).pdf
    • 2007.Indirect Sampling(2007).pdf
    • 2007.Life Distributions_ Structure of Nonparametric, Semiparametric, and Parametric Families(2007).pdf
    • 2007.Linear and Generalized Linear Mixed Models and Their Applications(2007).pdf
    • 2007.Model-based Geostatistics(2007).djvu
    • 2007.Multiscale modeling. A Bayesian perspective(2007).pdf
    • 2007.Permutation Methods A Distance Function Approach(2007).pdf
    • 2007.Reliability, Life Testing and the Prediction of Service Lives_ For Engineers and Scientists(2007).pdf
    • 2007.Stochastic Orders(2007).pdf
    • 2008.Bayesian Reliability(2008).pdf
    • 2008.Forecasting with exponential smoothing _ the state space approach(2008).pdf
    • 2008.Information Criteria and Statistical Modeling(2008).pdf
    • 2008.Introduction to empirical processes and semiparametric inference(2008).pdf
    • 2008.Linear Models and Generalizations_ Least Squares and Alternatives 3rd.pdf
    • 2008.Multiple testing procedures with applications to genomics(2008).pdf
    • 2008.Simulation and inference for stochastic differential equations_ With R examples(2008).pdf
    • 2008.Statistical Decision Theory Estimation, Testing, and Selection(2008).pdf
    • 2008.Statistical learning from a regression perspective(2008).pdf
  • 64.84 MB
  • 2017-9-15

  • Springer Series in Statistics(2001C-2002P).rar

    本附件包括：
    • 2001.Chaos A Statistical Perspective(2001).pdf
    • 2001.Combinatorial Methods in Density Estimation.pdf
    • 2001.Multivariate Statistical Modelling Based on Generalized Linear Models(2001).pdf
    • 2001.Permutation Methods_ A Distance Function Approach(2001).pdf
    • 2001.Regression Modeling Strategies_ With Applications to Linear Models, Logistic Regression, and Survival Analysis(2001).pdf
    • 2001.Scan Statistics(2001).pdf
    • 2001.The Elements of Statistical Learning-Springer (2001).djvu
    • 2002.A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)-Springer (2002).pdf
    • 2002.Applied Functional Data Analysis(2002).pdf
    • 2002.Growth Curve Models and Statistical Diagnostics (2002).pdf
    • 2002.Observational Studies 2ed.pdf
    • 2002.Principal Component Analysis 2nd Ed.pdf
  • 95.03 MB
  • 2017-9-15

  • Springer Texts in Statistics(2014-2016).rar

    本附件包括：
    • 2016.Statistical Methods for Quality Assurance_ Basics, Measurement, Control, Capability, and Improvement.pdf
    • 2014.Basics of Modern Mathematical Statistics[Exercises and Solutions].pdf
    • 2014.Bayesian Essentials with R-Springer-Verlag New York (2014).pdf
    • 2014.Statistical Analysis of Financial Data in R【2014】.pdf
    • 2015.Basics of Modern Mathematical Statistics (2015).pdf
    • 2015.Statistical Analysis and Data Display[2015].pdf
    • 2015.Statistics and Data Analysis for Financial Engineering with R examples.pdf
    • 2016.A Course in Mathematical Statistics and Large Sample Theory-Springer-Verlag New York (2016).pdf
    • 2016.Essentials_of_Stochastic_Processes(2016 3rd_Edition).pdf
    • 2016.Introduction to Time Series and Forecasting（3rd）.pdf
    • 2016.Statistical Learning from a Regression Perspective-Springer International Publishing (2016).pdf
  • 61.13 MB
  • 2017-9-13

  • Springer Texts in Statistics(2010-2013).rar

    本附件包括：
    • 2010.Applied Probability, 2nd Edition (Kenneth Lange,2010).pdf
    • 2010.Fundamentals_of_Probability_A First Course(2010).pdf
    • 2010.Large Sample Techniques for Statistics(2010).pdf
    • 2010.Theoretical Statistics-Topics for a Core Course(2010).pdf
    • 2011.Introduction to Modeling and Analysis of Stochastic Systems(2011).pdf
    • 2011.Plane Answers to Complex Questions(4th Edition).pdf
    • 2011.Probability for Statistics and Machine Learning(2011).pdf
    • 2011.Statistics and Data Analysis for Financial Engineering(2011).pdf
    • 2011.Statistics for Bioengineering Sciences,Brani Vidakovic,2011.pdf
    • 2011.Time Series Analysis and Its Applications With R Examples(3rd Edition 2011).pdf
    • 2012.Essentials of Stochastic Processes(2012).pdf
    • 2012.Modern Mathematical Statistics with Applications(2012).pdf
    • 2013.An Introduction to Statistical Learning with Applications in R(2013).pdf
    • 2013.Applied Bayesian Statistics-With R and OpenBUGS Examples.pdf
    • 2013.Essential Statistical Inference.pdf
    • 2013.Linear Mixed-Effects Models Using R(2013).pdf
    • 2013.Optimization, Kenneth Lange, 2ed, Springer, 2013.pdf
    • 2013.Probability A Graduate Course[2013].pdf
  • 87.65 MB
  • 2017-9-13

  • The Elements of Statistical Learning.zip

    本附件包括：
    • The_Elements_of_Statistical_Learning_.pdf
  • 7.23 MB
  • 2017-8-22

  • An Introduction to Statistical Learning-R application.rar
       An Introduction to Statistical Learning-with R application

    本附件包括：
    • An Introduction to Statistical Learning-R application.pdf
  • 6.32 MB
  • 2017-3-25

  • 8、The Elements of Statistical Learning.英文版.rar

    本附件包括：
    • 8、The Elements of Statistical Learning.英文版.pdf
  • 7.18 MB
  • 2015-12-25

  • Statistical learning with sparsity--The Lasso and Generalizations.rar
       高清

    本附件包括：
    • Statistical learning with sparsity--The Lasso and Generalizations.pdf
  • 8.5 MB
  • 2015-11-12

  • Machine Learning and Data Science - An Introduction to Statistical Learning Meth.rar

    本附件包括：
    • Machine Learning and Data Science - An Introduction to Statistical Learning Methods with R.epub
    • Machine Learning and Data Science - An Introduction to Statistical Learning Methods with R.pdf
    • Machine Learning and Data Science - An Introduction to Statistical Learning Methods with R.azw3
  • 13.08 MB
  • 2015-10-22

  • The Elements of Statistical Learning-Data Mining, Inference, and Prediction.zip

    本附件包括：
    • The Elements of Statistical Learning-Data Mining, Inference, and Prediction.pdf
  • 9.08 MB
  • 2015-9-26

  • The Elements of Statistical Learning.zip

    本附件包括：
    • The Elements of Statistical Learning .pdf
  • 7.22 MB
  • 2015-9-21

  • Hastie.pdf
       The Elements of Statistical Learning Data Minin

  • 12.59 MB
  • 2015-8-7

  • James.pdf
       An Introduction to Statistical Learning with application in R

  • 17.45 MB
  • 2015-8-7

  • 02.The Elements of Statistical Learning.zip

    本附件包括：
    • Hastie, Tibshirani, Friedman - 2008 - 01.The Elements of Statistical Learning.pdf
  • 12.07 MB
  • 2015-5-8

  • 数据挖掘.rar
       数据挖掘经典案列分析

    本附件包括：
    • An introduction to statistical learning with applications in R.pdf
    • The Elements of Statistical Learning (2nd edition).pdf
    • 数据挖掘导论.pdf
    • 数据挖掘导论答案(国外的那本）.pdf
    • 统计学习基础 数据挖掘、推理与预测.pdf
  • 70.93 MB
  • 2015-4-28

  • HastieTibshiraniFriedman.rar

    本附件包括：
    • The Elements of Statistical Learning Data Mining, Inference, and Prediction 2nd Edition by T. Hastie, R. Tibshirani, and J. Friedman.pdf
  • 8.74 MB
  • 2015-2-28

  • Springer Publishing An Introduction to Statistical Learning with Applications in.rar

    本附件包括：
    • Springer Publishing An Introduction to Statistical Learning with Applications in R (2013).pdf
  • 6.48 MB
  • 2014-12-29

  • Springer.Neural Networks and Statistical Learning.2014.rar

    本附件包括：
    • Springer.Neural Networks and Statistical Learning.2014.pdf
  • 8.29 MB
  • 2014-11-2

  • An economic theory of publicfacilities in space.rar

    本附件包括：
    • (Statistics for engineering and information science) Vladimir Vapnik-The nature of statistical learning theory-Springer (2000).djvu
    • (Information Science and Statistics) Vladimir Vapnik-The Nature Of Statistical Learning Theory-Springer (1999).pdf
    • (Information Science and Statistics) Kenneth Lange-The Nature of Statistical Learning Theory-Springer (1999).pdf
  • 16.27 MB
  • 2014-10-15

  • ISLR First Printing.zip
       An Introduction to Statistical Learning

    本附件包括：
    • ISLR First Printing.pdf
  • 10.27 MB
  • 2014-6-10

  • ISLR.pdf
       An Introduction to Statistical Learning with Applications in R

  • 12.72 MB
  • 2014-1-11

  • The Elements Of Statistical Learning.rar
       第二版，加目录。

    本附件包括：
    • The Elements Of Statistical Learning.pdf
  • 11.99 MB
  • 2013-11-2

  • ESLII.pdf
       The Elements of Statistical Learning Data Mining, Inference, and Prediction

  • 12.18 MB
  • 2013-1-13

  • Element of Statistical Learning.zip
       机器学习的经典

    本附件包括：
    • Element of Statistical Learning.pdf
  • 11.68 MB
  • 2012-7-25

  • ESLII_print4.rar
       Elements of Statistical Learning

    本附件包括：
    • ESLII_print4.pdf
  • 11.65 MB
  • 2012-6-16

  • ESLII_print5.pdf
       The Elements of Statistical Learning清晰彩版

  • 12.33 MB
  • 2012-5-5

  • Statistical Learning Theory.zip

    本附件包括：
    • WinDjView1.03.exe
    • Statistical Learning Theory~Wiley.Vladimir N.Vapnik.1998.djvu
  • 6.03 MB
  • 2010-6-12

  • The Elements of Statistical Learning new.rar

    本附件包括：
    • The Elements of Statistical Learning.pdf
  • 17.19 MB
  • 2009-12-2

  • 318262.rar
       [下载]免费上传一本书~ the elements of statistical learning

    本附件包括：
    • The Elements of Statistical Learning.pdf
  • 43.82 MB
  • 2009-4-23

  • 237506.pdf
       [下载]Statistical Learning from a Regression Perspective (Springer Series in Statistics)2

  • 5.26 MB
  • 2008-8-17

  • 214661.pdf
       [下载]有关数据挖掘的专著The Elements of Statistical Learning

  • 47.4 MB
  • 2008-5-24

  • 154570.zip
       [书籍]the element of statistical learning

  • 3.77 MB
  • 2007-9-15

  • 113817.rar
       The Elements of Statistical Learning Data Mining, Inference, and Prediction

  • 3.83 MB
  • 2007-5-5

  • 104143.rar
       [下载]有关数据挖掘的专著The Elements of Statistical Learning

    本附件包括：
    • Theelementsofstatisticallearning-NEW.djvu
  • 3.92 MB
  • 2007-3-30

  • 103940.rar
       The Elements of Statistical Learning

    本附件包括：
    • The.Elements.of.Statistical.Learning_Data.Mining,.Inference.and.Prediction.djvu
  • 3.75 MB
  • 2007-3-29

  • 35989.rar
       Probability_Random Processes_and Ergodic Properties

    本附件包括：
    • Statistical Learning and Kernel Methods.pdf
  • 259.59 KB
  • 2005-12-28
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