High Dimensional Statistics

by David Olive
        Preprint M-02-006
        Copyright August 2024

1st draft of course notes for High Dimensional Statistics. This manuscript is unfinished. Revisions are ongoing. Not even close to being ready yet. The .PDF version below is as of Aug. 2024.

The complete text is in the file multnotes.pdf. The MDATA files are for ARC.

.PDF Version R Programs R Data R Code
hdbook.pdf hdpack.txt hddata.txt hdrhw.txt
Table of Contents
Pages
PDF
Misc MDATA Files
Preface i-x   cont bodfat.lsp
Chapter 1-Introduction 1-74   ch1 boston2.lsp
Chapter 2-Multiple Linear Regression 75-142   ch2 buxton.lsp, cbrain.lsp
Chapter 3-MLR with heterogeneity 143-208   ch3 credit.lsp, cyp.lsp
Chapter 4-Binary Regression, GLMs, and GAMs 209-296   ch4 gladstone.lsp
Chapter 5-Poisson Regression 297-340   ch5 ICU.lsp
Chapter 6-Other Regression Methods 341-348   ch6 major.lsp
Chapter 7-One and Two Sample Tests 349-356   ch7 marry.lsp, mbb1415
Chapter 8-Classification 357-366   ch8 museum.lsp
Chapter 9-Multivariate Linear Regression 357-366   ch9 muss.lsp
Chapter 10-Multivariate Analysis 357-366   ch10
Chapter 11-Stuff for Students 357-366   ch11 pollution.lsp
Bibliography- 367-392   bib
data- NA-NA   ch povc.lsp
data- NA-NA   ch pov.lsp
data- NA-NA   ch
data- NA-NA   ch skeleton.lsp
data- NA-NA   ch
data- NA-NA   ch wbb1415
data NA-NA   ch  

 

 


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