Approximate Dynamic Programming: Solving the Curses of Dimensionality, Edition 2

Multiple Time Series

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions

Bayesian Analysis for the Social Sciences

An Elementary Introduction to Statistical Learning Theory

Simulation Solution Manual (Part I)

A Primer on Experiments with Mixtures

Statistics For Dummies: Edition 2

Batch Effects and Noise in Microarray Experiments: Sources and Solutions

Data Analysis: What Can Be Learned From the Past 50 Years

Mixed Models: Theory and Applications with R, Edition 2

Clinical Trial Design: Bayesian and Frequentist Adaptive Methods

Bias and Causation: Models and Judgment for Valid Comparisons

Dirichlet and Related Distributions: Theory, Methods and Applications

Dynamic Linear Models with R

Measuring Agreement: Models, Methods, and Applications

Mixtures: Estimation and Applications

Statistics II for Dummies