Foundations of Bayesian Statistics for Data Scientists : With R and Python (Paperback)

1. Introduction to Bayesian Statistics 2. Bayesian Inference for Proportions 3. Bayesian Inference for Means 4. Bayesian Inference for Linear Models 5. Bayesian Inference for Generalized Linear Models 6.?Bayesian MCMC Posterior Computation and Diagnostics? 7. Choosing and Extending Bayesian Models Appendix A Using R for Bayesian Data Analysis Appendix Appendix B Using Python in Statistical Science Appendix C Solutions to Exercises (odd-numbered)