The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics. 'An introduction to ...

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...

Rainer Winkelmann, University of Zurich Review of the first edition: 'This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature ...

1 Describe the fundamental differences between the Bayesian and frequentist approaches to statistics. 2 Construct conjugate families of prior distributions for common sampling distributions. 3 Explain ...