Table of Contents

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   Book Overview
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   Chapter 1 Probability
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   Chapter 2 Random Variables
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   Chapter 3 Expectation
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   Chapter 4 Inequalities
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   Chapter 5 Convergence of Random Variables
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   Chapter 6 Models, Statistical Inference and Learning
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   Chapter 7 Estimating the CDF and Statistical Functionals
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   Chapter 8 The Bootstrap
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    Chapter 9 Parametric Inference
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    Chapter 10 Hypothesis Testing and p-values
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    Chapter 11 Bayesian Inference
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    Chapter 12 Statistical Decision Theory
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    Chapter 13 Linear and Logistic Regression
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    Chapter 14 Multivariate Models
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    Chapter 15 Inference About Independence
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    Chapter 16 Causal Inference
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    Chapter 17 Directed Graphs and Conditional Independence
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    Chapter 18 Undirected Graphs
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    Chapter 19 Log-Linear Models
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    Chapter 20 Nonparametric Curve Estimation
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    Chapter 21 Smoothing Using Orthogonal Functions
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    Chapter 22 Classification
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    Chapter 23 Probability Redux: Stochastic Processes
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    Chapter 24 Simulation Methods