MSDS 410 Data Modeling for Supervised Learning (R)

Negative Binomial Additive Model for RNASeq Data

Quick Guide for Modelling Count Data in A Multilevel Framework

Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?

This GitHub repository contains R code for analyzing retail analysis with the count dependent variable.

Investigating Overdispersion's Effect on Modeling

Slides sobre modelos de regressão poisson e binomial negativa inflacionadas de zeros

This repository documents my senior year independent project that explores the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.

Simple model of proposed measures for age/sex adjusted differences in A&E attendance by population

R package for differential expression on count data with parameter bounds

Newt lens regeneration data analysis involving a negative binomial regression model to see the relationships between age, recovery time, and the count of cells that have begun to regenerate.

Mixed Poisson Regression for Overdispersed Count Data

Supervised Machine Learning algorithms for Regression in R and Python

Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.

Is there a recency bias at the oscars?

Statistical Analysis about cancer incidence in Modena hospital.

Batch effect adjustment based on negative binomial regression for RNA sequencing count data. Credits: https://github.com/zhangyuqing/ComBat-seq

Evaluating proposed CGAN-EB method in simulation enironment

Norm Constrained Generalised Linear Model using numpy, numba and scipy.