A Bayesian Analysis Toolkit in Julia
-
Updated
Dec 17, 2024 - Julia
#
posterior
Here are 9 public repositories matching this topic...
Public version of PolyChord: See polychord.co.uk for PolyChordPro
statistics astronomy mpi gfortran cosmology bayesian-inference particle-physics openmpi nested-sampling posterior log-likelihood sampling-methods polychord
-
Updated
Nov 26, 2024 - Fortran
A simple library to run variational inference on Stan models.
automatic-differentiation inference autograd stan variational-inference normalizing-flows pystan variational-bayes posterior realnvp inference-algorithms stan-models iw-sampling rank-gaussian
-
Updated
Apr 11, 2023 - Python
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
docker data-science tidyverse rstan probabilistic-programming bayesian-inference stan brms bayes rstanarm posterior stan-math-library cmdstan cmdstanr tidybayes stan-lang stan-gpu projpred shinystan
-
Updated
Jan 11, 2025 - Dockerfile
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
r rcpp extreme analysis gev extremes inference value predictive bayesian point-process posterior generalized-pareto-distribution extreme-value-statistics nhpp
-
Updated
Aug 21, 2024 - R
Project for fitting a multiscale model as described in Kolaczyk et al 2000.
python statistics bayesian-methods hierarchical-data multiscale bayesian-statistics hierarchical-models statistical-models multiscale-analysis posterior multiscale-test-statistics geographical-models
-
Updated
Feb 25, 2019 - Python
MCMC with R
-
Updated
Jul 31, 2019 - R
Two different classification task solved with bayesian neural networks using PyMC3 as part of my MSc thesis. It was inspired by Thomas Wiecki blog post, thanks for his contribution.
theano neural-network classification bayesian-inference pymc3 bayesian-statistics posterior posterior-predictive
-
Updated
Apr 17, 2018 - Jupyter Notebook
Improve this page
Add a description, image, and links to the posterior topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the posterior topic, visit your repo's landing page and select "manage topics."