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bitbucket.org/dtolpin/infergo

directory bitbucket.org/dtolpin/infergo

v0.8.4
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Published: Apr 8, 2020 | License: MIT | Module: bitbucket.org/dtolpin/infergo
Path Synopsis
ad Package ad implements automatic differentiation of a model.
cmd/deriv
dist Package dist provides differentiatable distribution models.
dist/ad
examples/adapt
examples/gmm
examples/gmm/model Gaussian mixture
examples/hello
examples/hello/model Inferring parameters of the Normal distribution from observations
examples/mt
examples/mt/model Inferring parameters of the Normal distribution from observations
examples/ppv
examples/ppv/model Determining the best bandwidth for page-per-visit prediction (http://dtolpin.github.io/posts/session-depth/)
examples/schools
examples/schools/model The eight schools example as appears in PyStan documentation (and taken from "Bayesian Data Analysis", Section 5.5 by Gelman et al.i): data { int<lower=0> J; // number of schools vector[J] y; // estimated treatment effects vector<lower=0>[J] sigma; // s.e.
infer Package infer contains inference algorithms: maximum likelihood estimation by gradient descent and approximation of the posterior by Markov Chain Monte Carlo methods (notably Hamiltonian Monte Carlo family of algorithms).
mathx Package mathx provides auxiliary elemental functions, ubiquitously useful but not found in package math.
model Package model specifies the interface of a probabilistc model.