STooDs is a framework to build and estimate probabilistic models for data varying in Space, Time or other Dimensions.

Latent Class Analysis on German Credit Data Set to find the latent variables affecting the credit outcomes and behaviour

Re-implementation of "Latent Variable Dialogue Models and their Diversity" paper by Kris Cao & Stephen Clark. https://arxiv.org/abs/1702.05962

Estimating functions for the semiparametric proportional hazards model. See Kang (2017, BJMSP)

The LaTeX of Gonçalo M. Correia's PhD thesis. The "Making Of" of this thesis can be checked in Issues/Projects.

Dynamically-Encoded Latent Transcriptomic pattern Analysis by Topic modeling

Missing data imputation using the exact conditional likelihood of Deep Latent Variable Models

Estimating functions for the log-normal response time model. See Kang, Zheng, & Chang (2020, JEBS), and Kang (2016, UIUC)

This project demonstrates that inaccurate conclusions may be drawn from partially observed data and proposes a strategy for mitigating such conclusions.

Inferring coin biases in a model with latent selector variable

A repository for all code for the 'spectrally-regularised-LVMs' package.

Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting

A simple Jupyter notebook to visualize data in latent space using dimensionality reduction techniques.

Program codes for latent transition analysis in Mplus and hidden Markov analysis in R

Hybrid (content-based/collaborative) recommendation model to find the best movie for two people to watch together.

This repo is dedicated to documenting learning process of multivariate analysis techniques.

Variational Importance Sampling

This repository provides the Online Appendix, replication data and materials for Krüger & Nordås, A latent variable approach to measuring wartime sexual violence, in Journal of Peace Research

Project done as part of the course on Probabilistic Graphical Models by Pierre Latouche and Pierre-Alexandre Mattei. JAX Implementation of the FastICA algorithm, a Newton's descent algorithm for linear ICA, and a Flax implementation of VAE for non-linear ICA.

Public Repository for Mixture Learning from Groups work