multinomial

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

Bayesian network analysis in R

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.

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

Multinomial sampler for Perl

Multinomial classification tasks in Reddit

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

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

Predictive Modeling for Agriculture

Course by Jacob O. Wobbrock

Binary and multinomial probit regression using I-priors

mpa survey

EDA and model fitting for Forest Cover Type Prediction Kaggle Competition. Final results around the 69th percentile (top 31%).

Example of Supervised Machine Learning (Multinomial Classification) using XGBoost and Shapley Value in Python

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.