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GitHub topics: bayesian-statistics

josephguzman1994/IllithidNova

This repo contains python scripts and configuration files to automate the dolphot process for HST images. Generates plots and data files used with @StellarAges. Also can automatically query CMD 3.8 or MAST to download data of interest

Language: Python - Size: 637 KB - Last synced at: 40 minutes ago - Pushed at: about 2 hours ago - Stars: 1 - Forks: 0

ScottClaessens/coevolve

coevolve R package for Bayesian dynamic coevolutionary models using Stan

Language: R - Size: 21.1 MB - Last synced at: about 9 hours ago - Pushed at: about 9 hours ago - Stars: 7 - Forks: 0

LukasDSauer/baskwrap

Wrapper Package for Several Basket Trial R Packages

Language: R - Size: 1.06 MB - Last synced at: about 11 hours ago - Pushed at: about 12 hours ago - Stars: 0 - Forks: 0

phlam-econometrics/Forecasting-GDPGrowthRate-of-Malaysia-with-Bayesian-TimeSeries-Approaches

Forecasting GDP Growth Rate of Malaysia with Bayesian Time Series Approaches: From 2025 Q2 to 2027 Q4

Size: 302 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

zekiakyol/proof-based-math-readings

๐Ÿ“• Proof-Based Math Readings is a free, independent online reading group where we study the mathematics required for economics masterโ€™s and PhD programs through an intuitive approach. Active since May 2023.

Size: 40.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 15 - Forks: 1

AllenDowney/ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

Language: Jupyter Notebook - Size: 210 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 1,923 - Forks: 1,520

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where youโ€™ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 548 - Forks: 248

wzbillings/bookwork

Working on textbooks and stuff

Language: PostScript - Size: 9.42 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

bayesflow-org/bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

Language: Python - Size: 556 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 572 - Forks: 69

R-Lum/Luminescence

Development of the R package 'Luminescence'

Language: R - Size: 2 GB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 16 - Forks: 11

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 37.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2,134 - Forks: 226

pymc-devs/pymc-extras

Powerful add-ons for PyMC

Language: Jupyter Notebook - Size: 83 MB - Last synced at: 2 days ago - Pushed at: 4 days ago - Stars: 105 - Forks: 65

markdregan/Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: 3 days ago - Pushed at: about 8 years ago - Stars: 2,504 - Forks: 412

arviz-devs/preliz

Exploring and eliciting probability distributions

Language: Python - Size: 43.3 MB - Last synced at: 3 days ago - Pushed at: 7 days ago - Stars: 139 - Forks: 12

stan-dev/rstan

RStan, the R interface to Stan

Language: R - Size: 197 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 1,063 - Forks: 270

adamlilith/mcmcHammer

Tools for anlaysis of MCMC chains

Language: R - Size: 1.91 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

stan-dev/stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Language: C++ - Size: 277 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2,666 - Forks: 377

jialuechen/flowpylib

Algo Library for Order Flow Inference and TCA

Language: Python - Size: 26.9 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 140 - Forks: 6

pymc-labs/research

Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)

Language: Jupyter Notebook - Size: 37.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 25 - Forks: 2

pymc-devs/pymc-resources

PyMC educational resources

Language: Jupyter Notebook - Size: 432 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 2,016 - Forks: 750

bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

Language: Python - Size: 614 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1,165 - Forks: 133

TuringLang/TuringGLM.jl

Bayesian Generalized Linear models using `@formula` syntax.

Language: Julia - Size: 266 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 74 - Forks: 8

Techtonique/GPopt

Bayesian optimization using Gaussian Process regression (Python)

Language: HTML - Size: 7.1 MB - Last synced at: 1 day ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0

QingfangLiu/qingfangliu.github.io

This is my public website.

Language: HTML - Size: 2.82 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

Demi-wlw/Nonparametric-Bayesian-Multi-Facet-Clustering-for-Longitudinal-Data

Code for UAI paper: Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data

Language: Python - Size: 27.7 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

raphaelvallat/pingouin

Statistical package in Python based on Pandas

Language: Python - Size: 14.3 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 1,787 - Forks: 155

stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

Language: R - Size: 117 MB - Last synced at: 6 days ago - Pushed at: 27 days ago - Stars: 396 - Forks: 137

wlandau/instantiate

Pre-compiled CmdStan models in R packages

Language: R - Size: 838 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 24 - Forks: 2

stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Language: R - Size: 115 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 154 - Forks: 36

hfgem/BlechCodes

This repository contains codes and pipelines for analyzing neural data from the Katz lab at Brandeis University towards Hannah Germaine's thesis.

Language: Python - Size: 3.41 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

bayesianbandits/bayesianbandits

A Pythonic microframework for multi-armed bandit problems

Language: Python - Size: 5.82 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 111 - Forks: 3

jdavidrcamacho/tedi

Analysis of radial velocity measurements using Gaussian and Student-t processes

Language: Python - Size: 13 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 4 - Forks: 0

ahgroup/billings-high-dose-heterologous-public ๐Ÿ“ฆ

Code and data associated with Billings et al., "High dose inactivated influenza vaccine inconsistently improves heterologous antibody responses in an elderly human cohort", JID 2025.

Language: TeX - Size: 2.37 GB - Last synced at: 3 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

CWWhitney/Decision_Analysis_Course

๐ŸŽ“ Uni-Bonn Decision Analysis graduate course, lectures and materials

Language: HTML - Size: 320 MB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 24 - Forks: 5

mayukhmondal/ABC-DLS

Approximate Bayesian Computation using Deep Learning (TensorFlow Keras backended) and Sequential Monte Carlo (aka Particle Filter)

Language: Python - Size: 118 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 6 - Forks: 0

martinit18/nested_fit

Bayesian data analysis code for evidence and probability distribution calculation based on nested sampling algorithm

Language: Fortran - Size: 20 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 9 - Forks: 5

nicholasjclark/mvgam

{mvgam} R ๐Ÿ“ฆ to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Language: R - Size: 1000 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 157 - Forks: 15

chiragbharadwaj/chiragbharadwaj.github.io

Source code for my personal site.

Language: CSS - Size: 162 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

bat/BAT.jl

A Bayesian Analysis Toolkit in Julia

Language: Julia - Size: 19.8 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 216 - Forks: 32

MatteoPardi/Bayes-Tennis

A Bayesian Model to Rank Tennis Players

Language: Python - Size: 1.66 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

supernnova/SuperNNova

Open Source Photometric classification https://supernnova.readthedocs.io

Language: Python - Size: 6.38 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 31 - Forks: 8

Jedrzej-Wydra/survival_analysis_em

A New Way to Calculate Thermal Summation Parameters for Forensically Useful Insects Using Mixture Models with Interval Estimation

Language: Jupyter Notebook - Size: 430 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

hyosubkim/bayes-toolbox

bayes-toolbox

Language: Python - Size: 212 MB - Last synced at: 8 days ago - Pushed at: 12 days ago - Stars: 92 - Forks: 6

cdslaborg/paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Language: Fortran - Size: 56.5 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 289 - Forks: 35

justinjjlee/bayesianvar

Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models

Language: Julia - Size: 10.3 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

DavidDiasData/bayesian-ab-testing

Language: Python - Size: 2.91 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

ghurault/EczemaPred

R package providing models to serve as building blocks for predicting eczema severity

Language: R - Size: 28 MB - Last synced at: 4 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 1

m-clark/m-clark.github.io

Personal website

Language: R - Size: 702 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 37 - Forks: 12

rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Language: Python - Size: 1.16 GB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 62 - Forks: 2

gederajeg/stats-rethink

Practice note for McElreath's (2020) "Statistical Rethinking".

Language: R - Size: 312 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

GPflow/GPflow

Gaussian processes in TensorFlow

Language: Python - Size: 374 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 1,874 - Forks: 430

sohaamir/neuro_resources

Resources for early career neuroscientists covering neuroimaging, programming and research skills

Language: JavaScript - Size: 457 KB - Last synced at: 7 days ago - Pushed at: 28 days ago - Stars: 6 - Forks: 2

AdityaSavara/PEUQSE

Parameter estimation for complex physical problems often suffers from finding โ€˜solutionsโ€™ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

Language: Python - Size: 720 MB - Last synced at: 1 day ago - Pushed at: 27 days ago - Stars: 14 - Forks: 5

BoltzmannEntropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Size: 21 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 4,621 - Forks: 303

uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Language: Python - Size: 160 MB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 1,971 - Forks: 136

wwiecek/baggr

R package for Bayesian meta-analysis models, using Stan

Language: R - Size: 12.8 MB - Last synced at: 5 days ago - Pushed at: 7 days ago - Stars: 49 - Forks: 12

florent-leclercq/Bayes_InfoTheory

Lectures on Bayesian statistics and information theory

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 31 - Forks: 4

jordandeklerk/pyloo

Python package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS) for Bayesian Modeling

Language: Python - Size: 4.44 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 1

ghurault/HuraultMisc

Personal R package

Language: R - Size: 40.4 MB - Last synced at: 4 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

IndrajeetPatil/statsExpressions

Tidy data frames and expressions with statistical summaries ๐Ÿ“œ

Language: R - Size: 38.9 MB - Last synced at: 8 days ago - Pushed at: 29 days ago - Stars: 313 - Forks: 20

dpthorngren/Sam

Sam is a flexible MCMC sampler for Python, designed for astrophysical applications.

Language: Cython - Size: 696 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1

XiangyunHuang/masr

:book: ็Žฐไปฃๅบ”็”จ็ปŸ่ฎก Modern Applied Statistics with R, INLA and Stan

Language: TeX - Size: 2.59 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 15 - Forks: 0

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

Language: Jupyter Notebook - Size: 143 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 458 - Forks: 75

gerdm/prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 2,336 - Forks: 516

jdavidrcamacho/artgpn

Modelling RV and activity indicators with an artificial GP network

Language: Python - Size: 3.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

klintkanopka/old-webpage Fork of academicpages/academicpages.github.io

Online CV

Language: JavaScript - Size: 56.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

teddygroves/bibat

A batteries-included template for Bayesian data analysis projects

Language: HTML - Size: 37.2 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 2

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1,498 - Forks: 329

oescoba2/MyWork

This repo contains my applied & computational mathematics work.

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

johannesulf/nautilus

Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics

Language: Python - Size: 17.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 85 - Forks: 11

sib-swiss/intro-bayesian-statistics-training

SIB course on bayesian statistics with applications using Rstan

Language: HTML - Size: 141 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 33 - Forks: 11

ImperialCollegeLondon/covid19model

Code for modelling estimated deaths and cases for COVID19.

Language: Stan - Size: 64.8 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 943 - Forks: 272

ecmerkle/blavaan

An R package for Bayesian structural equation modeling

Language: R - Size: 266 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 94 - Forks: 23

tirthajyoti/Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Language: Jupyter Notebook - Size: 70.1 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 926 - Forks: 381

yaminimanral/Data-Science-Projects

A fun mix of data science projects where I dive into cool analyses, create interactive visualizations, and build machine learning models. Using Python and different datasets, this repo is perfect for learning, experimenting, and growing my skills

Language: Jupyter Notebook - Size: 260 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ArchaeoStat/ArchaeoChron

Bayesian Modeling of Archaeological Chronologies

Language: R - Size: 3.44 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

ArchaeoStat/ArchaeoPhases

Post-processing MCMC Simulations for Chronological Modelling

Language: R - Size: 57.5 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 2

miguelfrndz/pyHaiCS

Python Library for Hamiltonian Markov-Chain Monte-Carlo in Computational Statistics (pyHaiCS).

Language: Python - Size: 9.65 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

ericmjl/bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

Language: Jupyter Notebook - Size: 96.6 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 665 - Forks: 278

storopoli/Bayesian-Statistics ๐Ÿ“ฆ

Bayesian statistics graduate course

Language: Typst - Size: 49.5 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 354 - Forks: 59

aadya940/chainopy

ChainoPy: A Python Library for Discrete Time Markov Chain based stochastic analysis

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 17 - Forks: 1

zjg540066169/BMIselect

Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)

Language: R - Size: 273 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

LoopyNoodle/Computational-Physics

Computational Physics (PHY-3150) | Spring 2025

Language: Jupyter Notebook - Size: 696 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

pmocz/mcmc-python

Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)

Language: Python - Size: 235 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 43 - Forks: 7

gregorsteiner/gIVBMA.jl

Bayesian Model Averaging in instrumental variable models.

Language: Julia - Size: 157 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

tpapp/DynamicHMC.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Language: Julia - Size: 1.14 MB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 251 - Forks: 21

gnthibault/Optimisation-Python

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Language: Jupyter Notebook - Size: 614 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 28 - Forks: 11

m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

Language: Stan - Size: 93 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 26

tpapp/TransformVariables.jl

Transformations to contrained variables from โ„โฟ.

Language: Julia - Size: 1.69 MB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 67 - Forks: 15

transientlunatic/gw-data-viewer

A browser-based viewer for gravitational-wave PE results files

Language: JavaScript - Size: 58.6 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 174 - Forks: 16

fehiepsi/rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 163 - Forks: 36

bandframework/Taweret

Python package for Bayesian Model Mixing

Language: Jupyter Notebook - Size: 120 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 8 - Forks: 8

edisedis777/Bayesian-Test-Results-Calculator

An interactive web-based tool designed to help understand the often counter-intuitive results of diagnostic tests using Bayes' Theorem.

Language: CSS - Size: 40 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

bayesml/BayesML

Your first library for Bayesian machine learning

Language: Python - Size: 8.62 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

phineas-pta/Bayesian-Methods-for-Hackers-using-PyStan ๐Ÿ“ฆ

"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)

Language: Python - Size: 19.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

CharlieNestor/markov_switching_model_stocks

This projects aims to implement a Markov Switching Model for stock returns using the Bayesian framework.

Language: Jupyter Notebook - Size: 6.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sivkri/interactive-ab-testing

This repo provides an interactive A/B dashboard built with Streamlit. It allows you to simulate or use real A/B testing data, perform statistical analysis (Frequentist and Bayesian), and visualize conversion rates and other business metrics over time. It aims to help to make data-driven decisions on which model (or variant) performs best.

Language: Jupyter Notebook - Size: 151 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ericmjl/bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language: Jupyter Notebook - Size: 126 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 557 - Forks: 111

BayesianRL/NonparametricVI.jl

Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming

Language: Julia - Size: 13.1 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 14 - Forks: 0

Related Keywords
bayesian-statistics 800 bayesian-inference 204 bayesian 113 statistics 111 r 110 machine-learning 105 python 104 stan 80 mcmc 63 bayesian-methods 56 data-science 54 bayesian-data-analysis 45 data-analysis 35 probability 31 bayes 29 probabilistic-programming 28 deep-learning 27 r-package 24 pymc3 24 julia 23 markov-chain-monte-carlo 23 frequentist-statistics 22 python3 20 rstats 18 brms 18 jags 18 linear-regression 18 artificial-intelligence 18 statistical-models 17 gaussian-processes 17 numpy 16 markov-chain 16 hierarchical-models 16 regression 15 pandas 15 clustering 15 bayesian-optimization 15 data-visualization 14 bayesian-analysis 13 variational-inference 13 neural-networks 13 probabilistic-models 13 rstan 13 statistical-inference 12 logistic-regression 12 time-series-analysis 12 visualization 12 pymc 12 monte-carlo 12 ab-testing 11 machine-learning-algorithms 11 statistical-analysis 11 matlab 11 bayesian-network 11 time-series 11 optimization 11 causal-inference 11 multilevel-models 10 clinical-trials 10 tensorflow 10 gibbs-sampling 10 nlp 10 julia-language 10 modeling 10 hypothesis-testing 10 probabilistic-graphical-models 9 covid-19 9 jupyter-notebook 9 mcmc-sampler 9 pytorch 9 bayesian-networks 8 data 8 neural-network 8 meta-analysis 8 ai 8 parameter-estimation 8 javascript 8 reinforcement-learning 7 neuroscience 7 scipy 7 regression-models 7 artificial-intelligence-algorithms 7 explainable-ai 7 monte-carlo-simulation 7 statistical-methods 7 rstanarm 7 statistical-rethinking 7 mathematics 7 inference 7 geochronology 7 human-computer-interaction 7 probability-distribution 7 tensorflow-probability 6 econometrics 6 cmdstanr 6 classification 6 docker 6 approximate-bayesian-computation 6 matplotlib 6 statistical-learning 6