Bayesian A/B testing functions for test evaluations
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Updated
Apr 4, 2019 - Julia
Bayesian A/B testing functions for test evaluations
Julia library for Bayesian non- and semi-parametric hazard models using B-splines
Bayesian Integration of functions
Graphical tools for Bayesian inference and posterior predictive checks.
A flexible group comparison test based on dependent Dirichlet process
Markov Chain Monte Carlo convergence diagnostics in Julia
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
WIP successor to Soss.jl
Interface between Turing.jl and MonteCarloMeasurements.jl
Accompanying Julia code for research paper, "System Effects in Identifying Risk-Optimal Data Requirements for Digital Twins of Structures"
Bayesian inference on wiring diagrams.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Transformations to contrained variables from ℝⁿ.
Statistical analyses for Bayesian workflows
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models
Metric Gaussian Variational Inference
Probabilistic programming via source rewriting
Bayesian Generalized Linear models using `@formula` syntax.
Bayesian Statistics using Julia and Turing
BayesBase is a package that serves as an umbrella, defining, exporting, and re-exporting methods essential for Bayesian statistics
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