Terms Index


HMC

MCMC

aic

autocorrelation

backpropagation

bayes risk

bayes theorem

bayesian

bayesian p-values

bayesian updating

bernoulli distribution

beta

beta-binomial

bias

bias-variance tradeoff

binomial

boltzmann distribution

bootstrap

box loop

box-muller

canonical distribution

cdf

central limit theorem

classical mechanics

complexity parameter

conditional

conjugate prior

convex

correlation

cross-entropy

cross-validation

curse of dimensionality

data augmentation

decision risk

decision theory

detailed balance

deterministic error

deviance

discrepancy

discrete sampling

discriminative models

distributions

divergences

effective sample size

elbo

elections

empirical bayes

empirical distribution

empirical risk minimization

energy

entropy

equilibrium

ergodicity

estimation risk

exchangeability

expectations

exponential distribution

exponential family

formal tests

frequentist statistics

full-data likelihood

gamma

gaussian mixture model

generative model

gibbs sampler

gradient descent

hamiltonian monte carlo

hierarchical

hierarchical normal-normal model

hoeffding's inequality

hypothesis space

identifiability

importance sampling

imputation

independence

inference

integration

inverse transform

irreducible

jensen's inequality

kidney cancer

kl-divergence

lasso

latent variables

law of large numbers

leapfrog

likelihood

likelihood-ratio

linear regression

log-likelihood

logistic regression

loss function

lotus

machine learning

map

marginal

marginal energy distribution

markov chain

maxent

maximum likelihood

mcmc

mcmc engineering

metropolis

metropolis-hastings

microcanonical distribution

minibatch sgd

mixture model

mlp

model averaging

model checking

monte-carlo

multi-variate normal

neural network

non-centered hierarchical model

noninformative prior

normal distribution

normal-normal model

normalization

nuts

optimization

out-of-sample error

parametric model

partial pooling

pdf

plug-in approximation

pmf

poisson distribution

poisson-gamma

posterior

posterior predictive

prior

probabilistic modeling

probability

probability rules

proposal matrix

pymc3

pytorch

random variables

rat tumors

regression

regularization

rejection sampling

rejection sampling on steroids

ridge

sampling

sampling as marginalization

sampling distribution

sampling distribution of variance

semi-supervised learning

sgd

simulated annealing

standard error

stationarity

statistical mechanics

step-size

stochastic noise

sufficient statistics

supervised learning

switchpoint

test error

test statistic

testing set

training error

training set

transition distribution

transition matrix

true-belief model

type-2 mle

uniform distribution

unsupervised learning

validation error

variance

x-likelihood

z-posterior