This accessible reference includes selected contributions from "Bayesian Thinking ‎- Modeling and Computation‎,‎ Volume 25" in the "Handbook of Statistics Series"‎,‎ with a focus on key methodologies and applications for Bayesian models and computation‎.‎ It describes parametric and nonparametric Bayesian methods for modeling‎,‎ and how to use modern computational methods to summarize inferences using simulation‎.‎ The book covers a wide range of topics including objective and subjective Bayesian inferences‎,‎ with a variety of applications in modeling categorical‎,‎ survival‎,‎ spatial‎,‎ spatiotemporal‎,‎ Epidemiological‎,‎ small area and micro array data‎.‎ It aids critical thinking on causal effects‎.‎ It provides simulation based computing techniques‎.‎ It covers Bioinformatics and Biostatistics‎.‎