posterior-distributions

There are 0 repository under posterior-distributions topic.

bayestestR
easystats / bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
bayes-factors bayesfactor bayesian bayesian-framework credible-interval easystats hacktoberfest hdi map posterior-distributions r rope rstats
Language:R 580
lmc2179 / bayesian_bootstrap
bayesian bootstrapping in python
bootstrap posterior-samples posterior-distributions bootstrap-resampling python bayesian-inference
Language:Python 121
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.
denoising denoising-images denoising-network posterior-distributions uncertainty uncertainty-estimation uncertainty-quantification uncertainty-visualisation semantic-uncertainty
Language:Jupyter Notebook 17
Amortized-NLME-Models
arrjon / Amortized-NLME-Models
Applying amortizing neural posterior estimation for non-linear mixed effects models
mixed-effects-models normalizing-flows posterior-distributions
Language:Jupyter Notebook 8
bat / MGVI.jl
Metric Gaussian Variational Inference
bayesian-inference bayesian-statistics julia machine-learning posterior-distributions statistics
Language:Julia 8
ngiann / GaussianVariationalInference.jl
Approximate variational inference in Julia
bayesian-inference machine-learning variational-inference julia-language bayesian-methods posterior-distributions
Language:Julia 4
ARenanse / LGPT
Langevin Gradient Parallel Tempering for Bayesian Neural Learning.
bayesian-inference neural-networks posterior-distributions sampling-methods langevin-dynamics parallel-computing multiprocessing parallel-tempering bayesian-deep-learning
Language:Jupyter Notebook 3
sieste / doit
Bayesian Computation using Design of Experiments-based Interpolation Technique in R
bayesian design-of-experiments interpolation posterior-distributions r r-package
Language:R 3
FS-CodeBase / Models-and-Bayesian-Inference-TFPI-Inhibition-of-Factor-X-Activation
A Model and Bayesian approach to estimate kinetic parameters of TFPI inhibition of blood clotting factor X activation
biochemical-reactions blood-coagulation clot-formation factor-x-activation tissue-factor tissue-factor-pathway-inhibitor bayesian-inference mathematical-modeling posterior-distributions inhibition-mechanisms static-experimental-studies unknown-parameters
Language:MATLAB 0
kisnikser / Posterior-Distributions-Proximity
Official implementation of "Sample Size Determination: Posterior Distributions Proximity"
sample-size-determination machine-learning deep-learning posterior-distributions
Language:Jupyter Notebook 0
rmead7 / Cervical-Cancer-Risk-Factors-
Bayesian Inference on the risk factors for cervical cancer
bayesian-inference cancer data data-analysis data-cleaning data-visualization linear-regression posterior-distributions posterior-predictive prior-distribution regression
Language:TeX 0
SEpapoulis / ODElib
A python module aimed at expediting the analysis of biological systems with ODE models
python experimental-data odes posterior-distributions
Language:Python 0
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
bayesian-inference bayesian-statistics central-limit-theorem cosmological-parameters cosmology gradient-descent linear-regression ordinary-least-squares parameter-estimation posterior-distributions posterior-predictive weighted-least-squares chisquare-contours
Language:Python 0
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.
bayesian-statistics brms frequentist-statistics lexical-decision lme4 mixed-effects-models posterior-distributions psycholinguistics rmarkdown semantic-decision semantic-priming semantic-processing statistical-power vocabulary-size
Language:R