posterior-probability

There are 1 repository under posterior-probability topic.

m-clark / bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis brms rstanarm
Language:Stan 83
kefirski / variational_dropout
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
pytorch paper neural-network machine-learning bayesian-inference posterior-probability dropout local-reparametrization-trick python
Language:Python 49
odubno / gauss-naive-bayes
Gauss Naive Bayes in Python From Scratch.
bayes naive-bayes-classifier normal-naive-bayes naive-bayes naive-bayes-tutorial naive-bayes-algorithm naive-bayes-implementation naive-bayes-python from-scratch iris-dataset gaussian-distribution normal-distribution classification-model bayes-classifier bayes-classification python maximum-likelihood maximum-likelihood-estimation bayesian posterior-probability
Language:Python 43
causact
flyaflya / causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
bayesian-inference dags posterior-probability probabilistic-graphical-models probabilistic-programming rstats-package
Language:R 42
anjalisilva / MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
count-data mpln-distribution mcmc-em icl aic mixture-model variational-em bic aic3 model-based-clustering r-package model-selection data-simulation data-visualization heatmaps lineplot posterior-probability shinyapp
Language:R 15
mauricelanghinrichs / ABCdeZ.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
approximate-bayesian-computation bayesian-inference monte-carlo-methods posterior-probability statistical-inference julia model-selection parameter-estimation likelihood-free marginal-likelihood model-evidence
Language:Julia 8
inverseproblem / KronLinInv
Kronecker-product-based linear inversion under Gaussian and separability assumptions.
inverse-problems geophysics kronecker-product posterior-probability fortran julia parallel openmpi python seismic-inversion
Language:Fortran 4
inverseproblem / KronLinInv.jl
Kronecker-product-based linear inversion under Gaussian and separability assumptions.
inverse-problems kronecker-product posterior-probability parallel-algorithm geophysics
Language:Julia 4
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.
bayes bayesian-inference posterior-probability prior shiny-apps
Language:R 3
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.
gaussianprocess bayesianupdating bayesian-inference kernelfunctions posterior-probability
Language:Julia 3
tukichen / Bayesian_AB_testing
A web app for analyzing A/B testing data using Bayesian approach
bayesian-tests posterior-probability bayes-factors
Language:Jupyter Notebook 3
bayesian-inference
yakuza8 / bayesian-inference
Bayesian Inference
bayesian-inference exact-inference posterior-probability bayesian-network bayesian-statistics probability probability-parser prior-probability joint-probability
Language:Python 3
gabrielegilardi / BayesianInference
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
markov-chain-monte-carlo bayesian-inference metropolis-hastings mcmc-sampling posterior-probability bayesian-statistics python c-plus-plus
Language:Python 2
RATHOD-SHUBHAM / Artificial-Intelligence
A curated list of my Artificial Intelligence project.
artificial-intelligence artificial-neural-networks bayesian bayes-classifier bayesian-network bayesian-methods game-playing-agent posterior-probability uninformed-search informed-search wumpus wumpus-game
Language:Python 1
rdisipio / eikos
Code relative to paper arXiv:1808.01930 [hep-ex]
bayesian-methods unfolding error-correcting-codes posterior-probability
Language:Python 1
ameli / detkit
Matrix Determinant Toolkit
matrix-functions matrix-computations gaussian-processes likelihood-functions posterior-probability machine-learning
Language:Python 0
brandimarte / MCMCneuro
Markov Chain Monte Carlo on graph space applied to the study of neuronal interactions from experimental data
markov-chain-monte-carlo neuronal-interactions graph-theory posterior-probability bayes
Language:C 0
graemeleehickey / bayesDP
Tools for the Bayesian Discount Prior Function
bayesian-inference bayesian bayesian-statistics rstats rstats-package r prior-distribution posterior-probability posterior-predictive clinical-trials mdic
Language:R 0
ptfonseca / daubl
daubl: Digit analysis using Benford's law
r r-package statistics bayesian-statistics bayes-factors p-values posterior-probability hypothesis-testing digit-analysis benfords-law
Language:R 0
ptfonseca / pcal
pcal: Calibration of p-values for point null hypotheses
r r-package statistics bayesian-statistics bayes-factors p-values posterior-probability hypothesis-testing p-value-calibrations
Language:R 0
lacerbi / comprob
Compatibility probability of measurements across experiments
posterior-probability compatibility experiments subjects
Language:MATLAB
SnehaShukla937 / Probability-Distribution-based-classification
Histogram based classification and prediction of annual rainfall from Kerala dataset
histogram prior classification posterior-probability binaryclassification
Language:Jupyter Notebook
trajceskijovan / Customer-subscription-with-PyMC3
Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.
banking bayesian classification credible-interval logistic odds-ratio posterior-probability pymc3 python regression sklearn subscribers subscription theano