Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

multinomial random effects

GEE solver for correlated nominal or ordinal multinomial responses using a local odds ratios parameterization.

Nonconvex Penalized Estimation for Generalized Linear Models

Simulates correlated multinomial responses conditional on a marginal model specification.

Bayesian network analysis in R

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Multinomial classification tasks in Reddit

Multinomial sampler for Perl

4 Plotly Dash apps that animate Bayesian updates of 3-dimensional Dirichlet distributions with multinomial data

Overdispersion Models (OM) using Generalized Estimating Equations (GEE)

Course by Jacob O. Wobbrock

Binary and multinomial probit regression using I-priors

mpa survey

This project aims to predict lung cancer using Multiple Linear Regression and Logistic Regression algorithms. By analyzing various factors, such as patient demographics, lifestyle habits, and medical history, the algorithms predict the likelihood of a patient developing lung cancer.

A Perceptron for multiclass problems

Text Category Classifier

Modelling and Analysis of the public datasets from St. Paul