This repo contains all the code and data for the research I have done into working on the Bayesian hierarchical model on loss curves.
-
Updated
Jun 10, 2017 - HTML
This repo contains all the code and data for the research I have done into working on the Bayesian hierarchical model on loss curves.
Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
bayesian | hierarchical-models
DiRenzo G. V., Che‐Castaldo C., Saunders S. P., Campbell Grant E. H., Zipkin E. F. 2019. Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data. Ecology and Evolution 9: 899–909.
Analyze the relationship between expected goals and odds of winning a game in the English Premier League
Multivariate Time series interpolation using hierarchical mixed effects models.
Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Mixed Methods | Hierarchical Data Analysis | Report Writing | Real world data
Add a description, image, and links to the hierarchical-models topic page so that developers can more easily learn about it.
To associate your repository with the hierarchical-models topic, visit your repo's landing page and select "manage topics."