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GitHub topics: posterior-distributions

easystats/bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions

Language: R - Size: 154 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 581 - Forks: 58

bat/MGVI.jl

Metric Gaussian Variational Inference

Language: Julia - Size: 41.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 2

kisnikser/Posterior-Distributions-Proximity

Official implementation of "Sample Size Determination: Posterior Distributions Proximity"

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

arrjon/Amortized-NLME-Models

Applying amortizing neural posterior estimation for non-linear mixed effects models

Language: Jupyter Notebook - Size: 575 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 8 - Forks: 0

lmc2179/bayesian_bootstrap

bayesian bootstrapping in python

Language: Python - Size: 181 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 17

SrotoshiGhosh/Bayesian-Inference-and-MCMC

Various codes centered around problems in Bayesian inference, Bayesian Linear Regression, and Bayesian Non-Linear Parameter Estimation using the application of various Markov Chain Monte Carlo Algorithms

Language: Python - Size: 85 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ARenanse/LGPT

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

Language: Jupyter Notebook - Size: 242 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

ngiann/GaussianVariationalInference.jl

Approximate variational inference in Julia

Language: Julia - Size: 877 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

HilaManor/GaussianDenoisingPosterior

We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.

Language: Jupyter Notebook - Size: 142 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

pablobernabeu/Language-and-vision-in-conceptual-processing-Multilevel-analysis-and-statistical-power

This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.

Language: R - Size: 822 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sieste/doit

Bayesian Computation using Design of Experiments-based Interpolation Technique in R

Language: R - Size: 4.66 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

faezehabibi66/MAP-Maximum-A-Posteriori-Estimation

Estimating Boston Housing using Maximum A Posteriori Estimation

Language: Python - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

rmead7/Cervical-Cancer-Risk-Factors-

Bayesian Inference on the risk factors for cervical cancer

Language: TeX - Size: 217 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

SEpapoulis/ODElib

A python module aimed at expediting the analysis of biological systems with ODE models

Language: Python - Size: 669 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Keywords
posterior-distributions 14 bayesian-inference 6 machine-learning 4 python 3 bayesian-statistics 3 linear-regression 2 bayesian 2 mixed-effects-models 2 posterior-predictive 2 map 2 r 2 statistical-power 1 vocabulary-size 1 design-of-experiments 1 interpolation 1 r-package 1 boston-housing-dataset 1 boston-housing-prices 1 odes 1 semantic-processing 1 semantic-priming 1 semantic-decision 1 rmarkdown 1 psycholinguistics 1 lme4 1 lexical-decision 1 frequentist-statistics 1 brms 1 uncertainty-visualisation 1 uncertainty-quantification 1 uncertainty-estimation 1 experimental-data 1 regression 1 prior-distribution 1 data-visualization 1 data-cleaning 1 data-analysis 1 data 1 cancer 1 pythonmachinelearning 1 python3 1 python-3 1 posterior 1 mlpython 1 ml 1 machinelearning-python 1 machinelearning 1 machine-learning-algorithms 1 estimation 1 classifier 1 classification-model 1 classification 1 cosmological-parameters 1 chisquare-contours 1 central-limit-theorem 1 posterior-samples 1 bootstrap-resampling 1 bootstrap 1 normalizing-flows 1 sample-size-determination 1 deep-learning 1 statistics 1 julia 1 rstats 1 rope 1 hdi 1 hacktoberfest 1 easystats 1 credible-interval 1 bayesian-framework 1 bayesfactor 1 bayes-factors 1 uncertainty 1 semantic-uncertainty 1 denoising-network 1 denoising-images 1 denoising 1 variational-inference 1 julia-language 1 bayesian-methods 1 sampling-methods 1 parallel-tempering 1 parallel-computing 1 neural-networks 1 multiprocessing 1 langevin-dynamics 1 bayesian-deep-learning 1 weighted-least-squares 1 parameter-estimation 1 ordinary-least-squares 1 gradient-descent 1 cosmology 1