Project With Liangliang Wang

Inference about Topics with Latent Dirichlet Allocation via Sequential Monte Carlo

This project involves implementing online inference about topics with Latent Dirichlet Allocation via sequential Monte Carlo methods. The goal is to produce a software package or an interactive web application that allows easy application of the method to various real datasets. Applicants for this project should be strong in software development in popular programming languages (e.g. R, Python, Java, JavaScript) and be familiar with Bayesian statistics.