✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
-
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
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Conduct one-way and multi-way anova in Julia with GLM.jl
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
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…
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
Multiscale change point detection
Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
Some movies to teach statistical concepts
This workflow identifies stage-specific transcription factor expression modules in time-series bulk RNA-seq data. The goal is to characterize the "waves" of TF expression that define each stage of a differentiation time-course, then use these control TF clusters as a baseline for assessing how experimental conditions alter this expression
Add a description, image, and links to the likelihood-ratio-test topic page so that developers can more easily learn about it.
To associate your repository with the likelihood-ratio-test topic, visit your repo's landing page and select "manage topics."