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

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

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

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

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

Phylogenetic inference using Stan

Basic statistical modelling examples.

Detecting unobservable changes in standard deviation of GDP

spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.

A simple library to run variational inference on Stan models.

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.

Forecasting Net Prophet

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

Source code and data for the EDM 2022 paper

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

Modeling a 1-armed bandit with pystan.

Replica Exchange Monte Carlo using PyStan2

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

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