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An introduction to statistical learning : with applications in R

Bayes Factors for Forensic Decision Analyses with R

An intermediate course in probability

An introduction to statistical learning : with applications in R

A modern introduction to probability and statistics : understanding why and how

A first course in Bayesian statistical methods

Statistics for Health Data Science : An Organic Approach

Time series analysis and its applications : with R examples

Generalized Linear Models With Examples in R

Essentials of Stochastic Processes

A course in mathematical statistics and large sample theory

All of nonparametric statistics

Intuitive Introductory Statistics

Matrix algebra : theory, computations, and applications in statistics

An introduction to statistical learning: with applications in R

Design and Analysis of Experiments

Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning

Asymptotic theory of statistics and probability

Statistics and finance : an introduction

The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation

An R and S-PLUS companion to multivariate analysis

Modern multivariate statistical techniques : regression, classification, and manifold learning

All of nonparametric statistics

Theory of point estimation

Elements of Large-Sample Theory

Mathematical statistics

Bayesian Essentials with R

Statistics and data analysis for financial engineering : with R examples

A modern approach to regression with R

Applied Bayesian statistics : with R and OpenBUGS examples

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