Course website for UCLA Biostat 200C - 2023 Spring

Statsmodels: statistical modeling and econometrics in Python

Author statistical models from domain knowledge

one day introduction to generalized nonlinear models using the gnm and logmult R packages

Interactive visualization of ordered logistic regression

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

his repository contains the data and source code used to produce the results presented in the paper linked below.

From linear regression towards neural networks...

One-hot HMM-GLM. GLM with a one-hot prior on top of a hidden Markov model.

One-hot HMM-GLM. GLM with a one-hot prior on top of a hidden Markov model.

High Throughput Light Weight Regularized Regression Modeling for Molecular Data

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Statistical analysis of the Los Angeles real estate market in form of assessed values and rental prices

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

A simple framework for ANOVA on various types of Julia statistical models

Conduct one-way and multi-way anova in Julia with GLM.jl

Dataiku DSS plugin to train Generalized Linear Models

Some R and Python code I've been working on.

We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.

Investigating the impact of cryopreservation on the survival of bacteria as part of the Biostatistics course at Ghent University