Search Results for: Doing Bayesian Data Analysis Second Edition A Tutorial With R Jags And Stan
Doing Bayesian Data Analysis
Author: John K. Kruschke
Publisher: Academic Press
ISBN: 0124058884
Category: Mathematics
Page: 759
View: 717
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Language: en
Pages: 759
Pages: 759
Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
Language: en
Pages: 776
Pages: 776
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and
Language: en
Pages: 316
Pages: 316
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields models and exploits conditional
Language: en
Pages: 300
Pages: 300
Written by an interdisciplinary team of global experts, this book is an invaluable tool for anyone learning about research methods.
Language: en
Pages: 291
Pages: 291
This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum
