High Dimensional Statistics

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 June 2026. 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-Prediction and Variable Selection	143-208	ch3	credit.lsp, cyp.lsp
Chapter 4-GLMs, MLR with Heterogeneity, and Other Regression Models	209-296	ch4	gladstone.lsp
Chapter 5-One and Two Sample Tests	297-340	ch5	ICU.lsp
Chapter 6-Dispersion Estimators	341-348	ch6	major.lsp
Chapter 7-Regression with k-Component Estimators	349-356	ch7	marry.lsp, mbb1415
Chapter 8-Classification with k-Component Estimators	357-366	ch8	museum.lsp
Chapter 9-Multivariate Linear Regression	357-366	ch9	muss.lsp
Chapter 10-The OPLS Estimator	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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