March 2020
Beginner to intermediate
612 pages
22h 10m
English
absolute deer, 336
absolute effects, 336
aggregated binomial regression, 325
AIC, 219
Akaike information criterion, 219
autocorrelation, 272
autocorrelation, of samples, 287
automatic differentiation, 286
autoregressive model, 542, 551
axis, 114
b-spline, 114
b-splines, 110
backdoor, 184
backpropagation, 286
basis function, 115
Bayes factor, 221
Bayes’ theorem, 36
Bayesian data analysis, 10
Bayesian imputation, 490
Bayesian information criterion, 193, 221
Bayesian updating, 29
Bayesianism, 12
Berkson’s paradox, 161
Bertrand’s box paradox, 489
beta distribution, 393
beta-binomial, 370
bias amplifier, 456
bias-variance trade-off, 201
bias-variance tradeoff, see also overfitting
binomial distribution, 307 ...
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