Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks
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Updated
Jun 21, 2019 - MATLAB
Bayesian Overlapping Community Detector (DBOCD) in Dynamic Networks
Functional Spatial Temporal Aggregated Dirichlet Process Predictors
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.
streaming field recording shuffler cross-platform and JACK audio
A Predictive View of Bayesian Clustering
This project was realized for the Bayesian Statistics course, held at Politecnico di Milano, A.Y. 2022/2023.
Probabilistic Models of Human and Machine Intelligence
MATALAB code for "Clustering Curves Based on Change Point Analysis: A Nonparametric Bayesian Approach", Statistica Sinica
It is about Chinese Restaurant Progress.
Predicting Purchase Rates in Stationary Markets
A demo of Dirichlet Distribution, Dirichlet Process and the Chinese Restaurant Process based GMM Clustering
This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
Codes for Chandra, et al. (2021+). Escaping the curse of dimensionality in Bayesian model based clustering. Please refer to the original paper for details https://arxiv.org/abs/2006.02700
Implementation of Rasmussen's paper on The Infinite Gaussian Mixture Model
R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)
Code to work with Dirichlet processes and hierarchical Dirichlet processes and perform inference using MCMC.
[ECCV'24] cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
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