Bayesian Analysis for the Social Sciences

Multiple Time Series

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

An Elementary Introduction to Statistical Learning Theory

A Primer on Experiments with Mixtures

Simulation Solution Manual (Part I)

Batch Effects and Noise in Microarray Experiments: Sources and Solutions

Statistics For Dummies: Edition 2

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

Clinical Trial Design: Bayesian and Frequentist Adaptive Methods

Forecasting with Exponential Smoothing: The State Space Approach

Bias and Causation: Models and Judgment for Valid Comparisons

Dirichlet and Related Distributions: Theory, Methods and Applications

Mixed Models: Theory and Applications with R, Edition 2

Measuring Agreement: Models, Methods, and Applications

SPSS Statistics For Dummies: Edition 4

Mixtures: Estimation and Applications

A Weak Convergence Approach to the Theory of Large Deviations