This package implements hypothesis testing procedures that can be used to identify the number of regimes in a Markov-Switching model.
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Updated
Nov 14, 2024 - R
This package implements hypothesis testing procedures that can be used to identify the number of regimes in a Markov-Switching model.
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
This is the repository for the RMediation package.
A simple framework for ANOVA on various types of Julia statistical models
Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl
Conduct one-way and multi-way anova in Julia with MixedModels.jl
Conduct one-way and multi-way anova in Julia with GLM.jl
Some movies to teach statistical concepts
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)
Likelihood Ratio Tests
Goodness-of-fit tests for categorical response models
Implementing the Linkage and Pathway Universal Tests using the clrdag package for Direceted Acyclic Graphs. Testing the two tests on cytometry data to analyze the links.
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
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…
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 test for samples from gamma-distributed populations.
Chandler-Bate adjustment for different models in Econometrics
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