pystan
There are 34 repositories under pystan topic.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
jonsedar/pymc3_vs_pystan
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
IamGianluca/arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
leopoldavezac/BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
IBM/yaps
A surface language for programming Stan models using python syntax
mrtkp9993/Statistical-Modeling-Examples
Basic statistical modelling examples.
abhiagwl/vistan
A simple library to run variational inference on Stan models.
4ment/phylostan
Phylogenetic inference using Stan
anaistack/ai-teacher-test
Source code and data for the EDM 2022 paper
AGhaderi/spatial_attenNCM
spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.
braaannigan/bayesian_intro
Self-study materials to give you an introduction to Bayesian inference with python
sharmaroshan/Don-t-Overfit
It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.
morphoorg/morpho
A python interface with Stan/PyStan Markov Chain Monte Carlo package
arosh/performance-estimation
estimate competitive programmers' performance based on Bayesian statistical modeling
phineas-pta/Bayesian-Methods-for-Hackers-using-PyStan
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
karthik-d/bayesian-inference-ml-with-PyStan
Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
narrowlyapplicable/stanRepEx
Replica Exchange Monte Carlo using PyStan2
yhiguchijp/PystanNotebookForRStanBook
Notebook to study Bayesian statistical modeling with pystan and "StanとRでベイズ統計モデリング"
bacross/pystan_vs_pymc3
A comparison of basic models written in pystan vs pymc3
lrb924/Forecasting_Net_Prophet
Forecasting Net Prophet
mjv2146/stochastic-volatility
Detecting unobservable changes in standard deviation of GDP
nati7/co2-levels
Predicting CO2 levels using a Bayesian inference model.
a-poor/bayesian-bandit
Modeling a 1-armed bandit with pystan.
akeyhero/dp-corona-stan
Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]
arnim/PyStan-Binder
Files for running PyStan on Binder
christacaggiano/pystan_practice
practice exercises in pystan
Emaasit/probabilistic-modeling
Learning probabilistic modeling in python
qSergio/Stan_exercises
Estos son algunos ejemplos de práctica que se han hecho en algún mometo.
shayleaschreurs/Time-Series_Analysis
Module 11 - I will be creating a visual depiction of seasonality (as measured by Google Search traffic), an evaluation of how the company stock price correlates to Google Search traffic, A Prophet forecast model that can predict hourly user search traffic, and a plot of a forecast for the company’s future revenue.