Learning probabilistic modeling in python
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Updated
Nov 2, 2017 - Jupyter Notebook
Learning probabilistic modeling in python
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
Forecasting Net Prophet
Repository for https://qiita.com/akeyhero/items/894dd3b5c206325191ce [Japanese]
Modeling a 1-armed bandit with pystan.
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
Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
Detecting unobservable changes in standard deviation of GDP
Replica Exchange Monte Carlo using PyStan2
A simple library to run variational inference on Stan models.
spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.
estimate competitive programmers' performance based on Bayesian statistical modeling
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