✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction

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

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

A new metric to measure multi-class imbalance degree of data using likelihood ratio test based on the paper LRID by Rui Zhu et. al.

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

A statistical model-based Voice Activity Detector

[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score

Measuring the axion mass with a helioscope

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

Convex optimization over classes of multiparticle entanglement

Goodness-of-fit tests for categorical response models

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…

Multiscale change point detection

Some movies to teach statistical concepts

Contains a document in which I showed the equivalence between the one-way ANOVA F-test and likelihood ratio test.

This is the repository for the RMediation package.

Likelihood-ratio test for normally distributed populations with non-constant variance. Essentially a LRT equivalent to Welch's ANOVA. Documented in LaTeX, implemented in Python.

Script to perform three different likelihood-ratio tests in Julia, and call an R script to perform the one-way ANOVA test, Welch's ANOVA test and analysis of deviance on a gamma generalized linear model.