Build dirichletprocess objects for data analysis
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Updated
Aug 26, 2023 - R
Build dirichletprocess objects for data analysis
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)
Predicting Purchase Rates in Stationary Markets
This project was realized for the Bayesian Statistics course, held at Politecnico di Milano, A.Y. 2022/2023.
The code interface is written in R, and for the sake of speed, most parts are written in C++. However, no prerequisite knowledge for both languages is required to run the code. An R file called runInfHMM.R sources all needed functions to compile and run the code.
A Predictive View of Bayesian Clustering
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