A simple framework for ANOVA on various types of Julia statistical models
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Updated
Feb 28, 2024 - Julia
A simple framework for ANOVA on various types of Julia statistical models
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
[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
Measuring the axion mass with a helioscope
Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
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
This is the repository for the RMediation package.
Contains a document in which I showed the equivalence between the one-way ANOVA F-test and likelihood ratio test.
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.
Likelihood Ratio Tests
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