Borek Puza

Dr Borek Puza is a Senior Lecturer in Statistics in the Research School of Finance, Actuarial Studies and Applied Statistics in the College of Business and Economics at The Australian National University, Canberra. Dr Puza completed a BSc in Mathematics in 1985 and worked at the Australian Bureau of Statistics from 1986 to 1995 in the time series and methodology areas. In 1992 he completed a Graduate Diploma in Statistics, followed by a Masters in Statistics in 1994 and a PhD in Statistics in 2001, all at ANU. Dr Puza has written around 20 peer-reviewed journal articles on various statistical topics. His current research interests include biased sampling, confidence estimation, Bayesian statistics, Markov chain Monte Carlo methods, and risk analysis.

http://orcid.org/0000-0001-5076-5122

Bayesian Methods for Statistical Analysis »

Authored by: Borek Puza

Publication date: October 2015

Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.

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