✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
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Updated
May 29, 2024 - Python
✌[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.
A statistical model-based Voice Activity Detector
Conduct one-way and multi-way anova in Julia with GLM.jl
[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
Goodness-of-fit tests for categorical response models
Convex optimization over classes of multiparticle entanglement
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.
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