October 2013
Beginner to intermediate
675 pages
27h 4m
English
book
Bayesian Data Analysis, Third Edition, 3rd Edition
by Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
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Subject Index
adaptive MCMC, 308
adding parameters to a model, 185–186
adequate summary, 217, 232
adolescent smoking survey, 148–150
AECM algorithm, 324, 348
airline fatalities, 59, 82
Akaike information criterion (AIC), 172, 177
discussion, 182
educational testing example, 179
Alcoholics Anonymous survey, 213–214
aliasing, 89, 521, 524, 533
all-at-once Gibbs sampler for hierarchical regression, 393
alternating conditional sampling, see Gibbs sampler
analysis of variance (Anova), 114, 395–398, 402, 403
finite-population and superpopulation models, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.