pystan

There are 2 repositories under pystan topic.

orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast orbit time-series regression arima changepoint bayesian-methods bayesian-statistics machine-learning regression-models pytorch
Language:Python 2012
sibylhe / mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
stan pystan bayesian-regression constrained-regression marketing-mix-modeling media-mix-modeling roas
Language:Jupyter Notebook 388
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
pymc3 pystan bayesian-inference bayesian-methods hierarchical-models
Language:Jupyter Notebook 127
IamGianluca / arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
pystan hierarchical-models python
Language:Jupyter Notebook 81
leopoldavezac / BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
marketing media-mix-modeling mmm pystan python
Language:HTML 59
IBM / yaps
A surface language for programming Stan models using python syntax
cmdstan pycmdstan pystan python stan stan-model stan-programs
Language:Python 45
mrtkp9993 / Statistical-Modeling-Examples
Basic statistical modelling examples.
statistical-analysis statistical-inference statistical-modeling python python3 stan pystan regression-analysis regression-models anova analysis-of-variance pandas matplotlib seaborn r-language r-programming r-markdown
Language:R 42
abhiagwl / vistan
A simple library to run variational inference on Stan models.
stan inference variational-inference variational-bayes autograd normalizing-flows realnvp automatic-differentiation pystan stan-models iw-sampling posterior inference-algorithms rank-gaussian
Language:Python 33
4ment / phylostan
Phylogenetic inference using Stan
stan pystan phylogenetics variational-inference bayes hmc
Language:Python 23
anaistack / ai-teacher-test
Source code and data for the EDM 2022 paper
comparative-judgement gpt-3 natural-language-generation natural-language-processing pystan stan-language bradley-terry chatbots conversational-agents educational-data-mining evaluation-method language-education mathematics-education pairwise-comparisons educational-dialogue student-teacher-dialogue educational-nlp bayesian-inference stan
Language:Python 12
jpmattern / seir-covid19
covid-19 pystan santa-cruz-county seir-model stan
Language:Jupyter Notebook 12
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.
attention cognitive-modeling decision-making joint-modeling pystan single-trial-analysis drift-diffusion-model model-based-cognitive-neuroscience
Language:Jupyter Notebook 8
braaannigan / bayesian_intro
Self-study materials to give you an introduction to Bayesian inference with python
bayesian-inference python pystan pymc3 sklearn holoviews
Language:Jupyter Notebook 7
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.
overfitting linear-models linear-regression lasso pystan stacking bagging shuffle-split machine-learning competitive-programming-contests logistic-regression
Language:Jupyter Notebook 6
morphoorg / morpho
A python interface with Stan/PyStan Markov Chain Monte Carlo package
python pystan markov-chain stan
Language:Python 4
phineas-pta / Bayesian-Methods-for-Hackers-using-PyStan
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
cmdstanpy mcmc bayesian-statistics bayesian-data-analysis cmdstan pystan stan
Language:Python 4
arosh / performance-estimation
estimate competitive programmers' performance based on Bayesian statistical modeling
statistical-model bayesian-inference mcmc stan python jupyter-notebook pystan
Language:Jupyter Notebook 3
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.
model-based model-based-machine-learning probabilistic-machine-learning probabilistic-models pystan stan loopy-belief-propagation message-passing-algorithm ancestral-inference sampling sampling-methods ancestral-sampling
Language:Python 2
narrowlyapplicable / stanRepEx
Replica Exchange Monte Carlo using PyStan2
mcmc replica-exchange parallel-tempering markov-chain-monte-carlo python pystan stan
Language:Python 2
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"
pystan
Language:Jupyter Notebook 2
bacross / pystan_vs_pymc3
A comparison of basic models written in pystan vs pymc3
mcmc-sampler pystan pymc3
Language:Python 0
lrb924 / Forecasting_Net_Prophet
Forecasting Net Prophet
forecasting holoviews hvplot plot prediction prophet-model pystan time-series-analysis
Language:Jupyter Notebook 0
mjv2146 / stochastic-volatility
Detecting unobservable changes in standard deviation of GDP
data-analysis forecasting pystan python time-series
Language:Jupyter Notebook 0
nati7 / co2-levels
Predicting CO2 levels using a Bayesian inference model.
bayesian-inference bayesian-statistics bayes pystan climate co2
Language:Jupyter Notebook 0
a-poor / bayesian-bandit
Modeling a 1-armed bandit with pystan.
multi-armed-bandit pystan bayes python arviz
Language:Jupyter Notebook
akeyhero / dp-corona-stan
Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]
stan pystan covid-19 coronavirus numpy python
Language:Python
arnim / PyStan-Binder
Files for running PyStan on Binder
pystan python bayesian-statistics stan mcmc binder-ready probabilistic-programming
christacaggiano / pystan_practice
practice exercises in pystan
pystan stan statistics
Language:Jupyter Notebook
Emaasit / probabilistic-modeling
Learning probabilistic modeling in python
probabilistic-programming pystan stan
Language:Jupyter Notebook
IamGianluca / rethinking
pystan bayesian-inference bayesian-data-analysis
Language:Jupyter Notebook
igomez10 / mexicoProphet
pystan fbprophet prophet python data-science
Language:Python
ivonnics / Prophet
python3 pandas prophet pystan
Language:Jupyter Notebook
qSergio / Stan_exercises
Estos son algunos ejemplos de práctica que se han hecho en algún mometo.
rstan pystan
Language:Stan
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.
datetime google-colab google-colaboratory holoviews hvplot pandas prophet pystan python
Language:Jupyter Notebook

pystan

uber / orbit

sibylhe / mmm_stan

jonsedar / pymc3_vs_pystan

IamGianluca / arm

leopoldavezac / BayesianMMM

IBM / yaps

mrtkp9993 / Statistical-Modeling-Examples

abhiagwl / vistan

4ment / phylostan

anaistack / ai-teacher-test

jpmattern / seir-covid19

AGhaderi / spatial_attenNCM

braaannigan / bayesian_intro

sharmaroshan / Don-t-Overfit

morphoorg / morpho

phineas-pta / Bayesian-Methods-for-Hackers-using-PyStan

arosh / performance-estimation

karthik-d / bayesian-inference-ml-with-PyStan

narrowlyapplicable / stanRepEx

yhiguchijp / PystanNotebookForRStanBook

bacross / pystan_vs_pymc3

lrb924 / Forecasting_Net_Prophet

mjv2146 / stochastic-volatility

nati7 / co2-levels

a-poor / bayesian-bandit

akeyhero / dp-corona-stan

arnim / PyStan-Binder

christacaggiano / pystan_practice

Emaasit / probabilistic-modeling

IamGianluca / rethinking

igomez10 / mexicoProphet

ivonnics / Prophet

qSergio / Stan_exercises

shayleaschreurs / Time-Series_Analysis