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
