This book is a contemporary introductiontotheorymethodsand computation in ...This book is a contemporary introduction to theory methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors objective Bayes testing Bayesian model selection and...more
This book is for students and researchers who have had a first year graduate l...This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood Bayesian and permutation inference; an introduction to basic asymptotic distribution theory; and modern...more
A Second Course inStatistics The past decade has seen a tremendous increase i...A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals as well as academic...more
A self-contained introductionto probability exchangeability and Bayes rule pr...A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves....more
The interest inBayesianstatistics among theoretical and applied statistician...The interest in Bayesian statistics among theoretical and applied statisticians has increased dramatically in the last few years. This classic text and reference book remains one of the most important references.more
This book provides a balanced modern summary of Bayesianand frequentist metho...This book provides a balanced modern summary of Bayesian and frequentist methods for regression analysis.more
This book reviews nonparametric Bayesianmethodsand models that have proven u...This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models the book s structure follows a data analysis perspective. As such...more
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a...Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter with its numerous extensions takes centre stage in...more
This book provides a calculus-based introductionto mathematical statistics. T...This book provides a calculus-based introduction to mathematical statistics. The book integrates probability and statistics distribution theory and inference and estimation and hypothesis testing. It will serve as an important reference for students...more
A self-contained introductionto probability exchangeability and Bayes rule pr...A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves....more
Bayes Factors for Forensic Decision Analyses with R provides a self-contained ...Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets this book features an operational perspective...more
This self-contained book is anintroductionto nonparametric curve estimation ...This self-contained book is an introduction to nonparametric curve estimation theory.more
Emphasizing the use of WinBUGS and R to analyze real data Bayesian Ideas and D...Emphasizing the use of WinBUGS and R to analyze real data Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics...more
This updated textbook provides a wide-ranging introductionto the use and theo...This updated textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author s emphasis is on providing a unified treatment of linear models including analysis of variance models and regression...more