Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
AB test calculator run through Streamlit
Likelihood-Based Inference for Time Series Extremes
Code for ECE475: Frequentist Machine Learning at the Cooper Union, summer 2020
This repository contains the code for the submitted paper: Kento Okuyama, Tim Fabian Schaffland, Pascal Kilian, Holger Brandt, Augustin Kelava (2025). Frequentist forecasting in regime-switching models with extended Hamilton filter, available at https://arxiv.org/abs/2512.18149.
Regression
A Lab Notes Blog Powered By Marxist Philosophy of Science Blog
A Python-based data analysis project using Jupyter Notebook, featuring classical and Bayesian inference methods applied to real-world datasets for statistical modeling, hypothesis testing, and portfolio optimization.
A/B testing for KKBOX churn rate
Add a description, image, and links to the frequentist topic page so that developers can more easily learn about it.
To associate your repository with the frequentist topic, visit your repo's landing page and select "manage topics."