A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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Updated
Jul 10, 2024 - Python
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Basic statistical modelling examples.
Detecting unobservable changes in standard deviation of GDP
Phylogenetic inference using Stan
Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
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.
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
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
A python interface with Stan/PyStan Markov Chain Monte Carlo package
(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
Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]
Predicting CO2 levels using a Bayesian inference model.
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