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87 search results found

Bayespy ⭐ 666

Bayesian Python: Bayesian inference tools for Python

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

Mamba.jl ⭐ 228

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Bayes_computing_course ⭐ 208

Probabilistic Models ⭐ 196

Collection of probabilistic models and inference algorithms

A Bayesian Analysis Toolkit in Julia

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

Bayesian estimation supersedes the t test

Bayeslearncourse ⭐ 133

Bayesian Learning course at Stockholm University

Cmdstanr ⭐ 126

CmdStanR: the R interface to CmdStan

Bayesiantools ⭐ 103

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Bayesiantutorials ⭐ 100

Implementing MCMC sampling from scratch in R for various Bayesian models

Awesome Bayes ⭐ 98

List of resources for bayesian inference

A Bayesian testing framework written in Python.

Mcmc_pydata_london_2019 ⭐ 75

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Binary.com Interview Question ⭐ 57

次元期权应征面试题范例。

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Dirichletprocess ⭐ 53

Build dirichletprocess objects for data analysis

Bayesian MCMC matrix factorization algorithm

Hierarchical meta-d' model

MCMC package for Bayesian data analysis

Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python

Bali Phy ⭐ 42

Bayesian co-estimation of phylogenies and multiple alignments via MCMC

BAS R package https://merliseclyde.github.io/BAS/

Spatialreg ⭐ 40

spatialreg: spatial models estimation and testing

Bayesian Generalized Linear Models with Time-Varying Coefficients

An alternative to MCMC for rapid analysis of models

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Carma_pack ⭐ 36

MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

Bayesian Hmm ⭐ 35

A non-parametric Bayesian approach to Hidden Markov Models

Logdensityproblems.jl ⭐ 34

A common framework for implementing and using log densities for inference.

Bayes Skopt ⭐ 32

A fully Bayesian implementation of sequential model-based optimization

Cmdstan.jl ⭐ 32

CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable. CmdStan will be deprecated in 2022.

Bayes Seg ⭐ 30

Java code from the 2008 EMNLP paper "Bayesian Unsupervised Topic Segmentation" by Eisenstein and Barzilay

Inference Tools ⭐ 26

Python tools for Bayesian data analysis

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Bayesian_tutorial ⭐ 25

Tutorial on Bayesian phylogenetic analysis

Computational_statistics ⭐ 25

Course materials for Computational Statistics, PhD course at EMAp.

Bayhunter ⭐ 23

McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions

Python_for_bayes ⭐ 23

「Pythonによるベイズ統計学入門」の正誤表とPythonコード

Bayesian_workshop ⭐ 21

Material for a Bayesian statistics workshop

Matlab Bayesian Estimation ⭐ 21

Matlab Toolbox for Bayesian Estimation

Posteriorplots.jl ⭐ 20

Graphical tools for Bayesian inference and posterior predictive checks.

A Bayesian latent tree model of high-dimensional heterogeneous data

Enviro_mod_notes ⭐ 15

Introductory notes on environmental modelling and statistics

An R package for NUTS sampling using ADMB

Dirichlet-Multinomial Bayesian Variable Selection

Laplacesdemon ⭐ 13

A complete environment for Bayesian inference within R

Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.

Meshed GP for Bayesian spatial big data regression

Bayesianml Mcmc ⭐ 11

Bayesian Model Inference using MCMC

Bayes_course_july2020 ⭐ 11

Course materials for short course on Bayesian computation

BFAST3D: Bayesian Fast Accurate Spatial Tricks in 3D. For fMRI analysis.

Framework for conducting Bayesian analyses

Bayesian neural networks using Numpy and Scipy

Manifold Mcmc For Diffusions ⭐ 10

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

Bayesian Modeling ⭐ 9

Case studies with Bayesian methods

Geometricmcmc.jl ⭐ 9

Geometric MCMC algorithms and zero-variance (ZV) Monte Carlo Bayesian routines

Bayes Hier ⭐ 9

MATLAB MCMC for Bayesian hierarchical inversion

Girth_mcmc ⭐ 9

Bayesian IRT submodule for GIRTH

Mcmc Estimation Of Stochastic Differential Equations Papers ⭐ 8

A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)

Variational Reformulation Of Inverse Problems ⭐ 8

Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.

Bayesian2afc ⭐ 8

Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Bayesgarch ⭐ 7

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

Bayesian Statistics ⭐ 7

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

Lander Stan Class 2023 ⭐ 7

Materials for Bayes/Stan workshop using CmdStanR

Bayesian estimation of the latent dimension and communities in stochastic blockmodels

Bnpmix.java ⭐ 6

Bayesian Nonparametric Mixture Models in Java

http://pymc.googlecode.com/svn/trunk

Mcmc Denoising ⭐ 6

Bayesian image denoising in C++ and Python

Mcmc_fnn_timeseries ⭐ 6

Bayesian Neural Network for Time Series Prediction

Structmcmc ⭐ 6

A set of tools for performing structural inference for Bayesian Networks using MCMC in R

An R package for biomarker discovery using Bayesian models implemented in Stan

Probabilistic Matrix Factorization ⭐ 5

Confidence ⭐ 5

Use experiments, modeling, and simulation to determine if perceptual confidence emerges from Bayesian or heuristic computations. 🧠

Revdbayes ⭐ 5

Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis

PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models

Laplacesdemon ⭐ 5

A complete environment for Bayesian inference within R

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

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