Learning probabilistic modeling in python
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Updated
Nov 2, 2017 - Jupyter Notebook
Learning probabilistic modeling in python
Modeling a 1-armed bandit with pystan.
Forecasting Net Prophet
Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]
Predicting CO2 levels using a Bayesian inference model.
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.
A comparison of basic models written in pystan vs pymc3
Files for running PyStan on Binder
Detecting unobservable changes in standard deviation of GDP
Replica Exchange Monte Carlo using PyStan2
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
Notebook to study Bayesian statistical modeling with pystan and "StanとRでベイズ統計モデリング"
Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
estimate competitive programmers' performance based on Bayesian statistical modeling
A python interface with Stan/PyStan Markov Chain Monte Carlo package
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