Learning probabilistic modeling in python

Forecasting Net Prophet

Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]

Files for running PyStan on Binder

Modeling a 1-armed bandit with pystan.

Predicting CO2 levels using a Bayesian inference model.

A comparison of basic models written in pystan vs pymc3

Estos son algunos ejemplos de práctica que se han hecho en algún mometo.

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.

Análise da série histórica Dados Históricos Petrobras Ações Ordinárias - PETR3_SA de 2024-06-13 até 2025-06-13

practice exercises in pystan

Detecting unobservable changes in standard deviation of GDP

Replica Exchange Monte Carlo using PyStan2

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

Notebook to study Bayesian statistical modeling with pystan and "StanとRでベイズ統計モデリング"

estimate competitive programmers' performance based on Bayesian statistical modeling

A python interface with Stan/PyStan Markov Chain Monte Carlo package