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bayesian-data-analysis
Here are 118 public repositories matching this topic...
Bayesian Data Analysis demos for Python
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Jul 19, 2021 - Jupyter Notebook
RStan, the R interface to Stan
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Jul 26, 2021 - C++
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
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Jun 15, 2020 - Jupyter Notebook
Bayesian analysis + tidy data + geoms (R package)
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Jul 26, 2021 - R
How to do Bayesian statistical modelling using numpy and PyMC3
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Jul 19, 2021 - Jupyter Notebook
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
probabilistic-programming
bayesian-inference
mcmc
pymc3
bayesian-data-analysis
hierarchical-models
kruschke
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Oct 26, 2020 - Jupyter Notebook
A collection of Bayesian data analysis recipes using PyMC3
notebook
bayesian-methods
neural-networks
bayesian
bayesian-inference
bayesian-data-analysis
bayesian-statistics
bayesian-analysis
treatment-groups
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Jul 19, 2021 - Jupyter Notebook
Bayesian Data Analysis demos for R
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Apr 18, 2021 - R
High-performance Bayesian Data Analysis on the GPU in Clojure
machine-learning
clojure
statistics
gpu
opencl
cuda
clojure-library
high-performance-computing
gpu-acceleration
bayesian
gpu-computing
bayesian-inference
mcmc
bayesian-data-analysis
markov-chain-monte-carlo
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Sep 10, 2020 - Clojure
rstanarm R package for Bayesian applied regression modeling
r
bayesian-methods
rstan
bayesian
multilevel-models
bayesian-inference
stan
r-package
rstanarm
bayesian-data-analysis
bayesian-statistics
statistical-modeling
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Jun 21, 2021 - R
shinystan R package and ShinyStan GUI
r
bayesian-methods
bayesian
bayesian-inference
stan
r-package
shiny-apps
statistical-graphics
mcmc
bayesian-data-analysis
bayesian-statistics
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Apr 13, 2021 - R
Statistical Rethinking with PyTorch and Pyro
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Oct 27, 2019 - Jupyter Notebook
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
cross-validation
bayesian-methods
stan
r-package
bayesian-data-analysis
model-comparison
information-criterion
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Jun 30, 2021 - R
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
python
data-science
machine-learning
numpy
scikit-learn
pandas
probabilistic-programming
bayesian-inference
pymc3
bayesian-data-analysis
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Feb 21, 2019 - Jupyter Notebook
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
machine-learning
statistics
monte-carlo
automatic-differentiation
probabilistic-programming
bayesian-inference
system-identification
bayesian-data-analysis
sequential-monte-carlo
probabilistic-programming-language
birch
automatic-marginalization
automatic-conjugacy
automatic-conditioning
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Jul 30, 2021 - C++
Doing Bayesian statistics in Python!
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Jan 31, 2018 - Jupyter Notebook
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
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Oct 18, 2018 - R
r
bayesian-methods
rstan
bayesian
bayesian-inference
stan
brms
rstanarm
mcmc
regression-models
likelihood
bayesian-data-analysis
hamiltonian-monte-carlo
bayesian-statistics
bayesian-analysis
posterior-probability
metropolis-hastings
gibbs
prior
posterior-predictive
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May 6, 2020 - Stan
'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
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Oct 22, 2020 - TeX
Bayesian Data Analysis demos for Matlab/Octave
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Jan 6, 2020 - MATLAB
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
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Mar 21, 2015 - Python
Examples for Bayesian inference using DynamicHMC.jl and related packages.
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Dec 20, 2020 - Jupyter Notebook
Bayesian multilevel mediation models in R
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Feb 21, 2019 - R
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
python
data-science
statistics
numpy
probability
jupyter-notebook
pandas
scipy
bayesian-data-analysis
bayesian-statistics
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Apr 13, 2020 - Jupyter Notebook
Tools for Developing R Packages Interfacing with Stan
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Jul 19, 2021 - R
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
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Apr 7, 2021 - R
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
julia-language
statistical-inference
bayesian-inference
bayesian-data-analysis
approximate-bayesian-computation
probabilistic-inference
kissabc
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Apr 28, 2021 - Julia
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Summary:
It'd be nice to have a builder pattern for var contexts to make them easy to construct for testing. Something that could be used like this:
Current Version:
v2.23.0