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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs) | Bayesian Nonparametrics | Causal Inference in Statistics | Prior Processes and Their Applications | Statistical Learning With Sparsity | Statistical Rethinking | Gaussian Processes for Machine Learning | A First Course in Bayesian Statistical Methods | Bayesian Non- and Semi-Parametric Methods and Applications
The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
About: This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis.
This edition also contains Writing for Television, Radio, and New Media
About: This text covers the principles, techniques, and approaches of writing for a variety of formats for television, radio, and the Internet.
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