Narsky, Ilya / Porter, Frank C.
Statistical Analysis Techniques in Particle Physics
Fits, Density Estimation and Supervised Learning
(Wiley-VCH, 2013)
Publisher Site
This book at Wiley-VCH
Table of Contents (pdf)
Chapter 1: Why we wrote this book and how you should read it (pdf)
Index (pdf)
MATLAB snippets (zip archive of html pages)
Book Excerpts
Section 2.2.1 Nuisance Parameters in Parametric Likelihood Fits
Section 2.2.4 Profile Likelihood and Section 2.2.5 Conditional Likelihood
Section 4.5 Cross-validation
Section 5.3 Kernel Density Estimation
Section 5.7 Estimating Errors for Density Estimation
Section 5.10 Naive Bayes Classification
Section 8.3 Principal Component Analysis
From Chapter 11: Discriminant Analysis
From Chapter 14: Decision Trees
From Chapter 15: Introduction to Boosting
Additional Material
Pruning and Postfitting Ensembles
Multiclass Extensions of Support Vector Machines
Solutions to selected problems
Errata
Errata
Contact the Authors
inarsky take this out yahoo dotcom
fcp do the same caltech dotedu
