This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python,... Læs mere
Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative... Læs mere
Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers.
We describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. We provide an overview of the most widely... Læs mere
In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters.
"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr.
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.