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  • High-Dimensional Statistics.zip

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

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

    本附件包括：
    • 2011.Statistics for High-Dimensional Data_ Methods, Theory and Applications(2011).pdf
    • 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
  • 83.7 MB
  • 2017-9-15
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