✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
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Updated
Oct 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
Conduct one-way and multi-way anova in Julia with GLM.jl
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
A statistical model-based Voice Activity Detector
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.
This package implements hypothesis testing procedures that can be used to identify the number of regimes in a Markov-Switching model.
[AISTATS 2025] "A Likelihood Based Approach for Watermark Detection"
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Measuring the axion mass with a helioscope
A consistent API for hypothesis testing in R. Provides generic methods for p-values, test statistics, degrees of freedom, and significance testing. Includes LRT and Wald test implementations. Available on CRAN.
Convex optimization over classes of multiparticle entanglement
Goodness-of-fit tests for categorical response models
Multiscale change point detection
Computing a Likelihood Ratio Test on Wisconsin Breast Cancer Dataset to detect the most relevant features to infer wether a tumor is Malignous or Benign
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…
This is the repository for the RMediation package.
Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
Some movies to teach statistical concepts
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