posterior-probability
There are 23 repositories under posterior-probability topic.
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
kefirski/variational_dropout
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
odubno/gauss-naive-bayes
Gauss Naive Bayes in Python From Scratch.
flyaflya/causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
anjalisilva/MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
mauricelanghinrichs/ABCdeZ.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
inverseproblem/KronLinInv
Kronecker-product-based linear inversion under Gaussian and separability assumptions.
inverseproblem/KronLinInv.jl
Kronecker-product-based linear inversion under Gaussian and separability assumptions.
Rensvandeschoot/Plausible-Parameter-Space
The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
SourangshuGhosh/AbstractGPs.jl
AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs.
tukichen/Bayesian_AB_testing
A web app for analyzing A/B testing data using Bayesian approach
yakuza8/bayesian-inference
Bayesian Inference
gabrielegilardi/BayesianInference
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
RATHOD-SHUBHAM/Artificial-Intelligence
A curated list of my Artificial Intelligence project.
rdisipio/eikos
Code relative to paper arXiv:1808.01930 [hep-ex]
ameli/detkit
Matrix Determinant Toolkit (memdet)
brandimarte/MCMCneuro
Markov Chain Monte Carlo on graph space applied to the study of neuronal interactions from experimental data
graemeleehickey/bayesDP
Tools for the Bayesian Discount Prior Function
ptfonseca/daubl
daubl: Digit analysis using Benford's law
ptfonseca/pcal
pcal: Calibration of p-values for point null hypotheses
lacerbi/comprob
Compatibility probability of measurements across experiments
SnehaShukla937/Probability-Distribution-based-classification
Histogram based classification and prediction of annual rainfall from Kerala dataset
trajceskijovan/Customer-subscription-with-PyMC3
Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.