An introduction to computational Bayesian statistics cooked to perfection ... And spiced up with critical perspectives on some common practices and a healthy focus on model assessment and model ...

The regression model is examined to show how analytical methods ... This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature ...

and good modelling skills are important for applied mathematicians and statisticians alike. With the advent of modern Bayesian statistics, we have excellent tools how to estimate the parameters of a ...

The course focuses particularly on Bayesian methods for evidence synthesis that can be integrated within a probabilistic modelling framework and can be used to statistically combine evidence from a ...

Dan Kowal, associate professor of statistics ... Bayesian regression analysis enables researchers to predict a range of ...

5 Construct, in a Bayesian framework, hierarchical versions of common statistical models including Generalised Linear Models. 6 Use suitable software tools to set up and analyse Bayesian statistical ...