0_data_generation.ipynb [Hidden] Data generation ⚠️ Not for initial use. This notebook simulates the kinetic dataset. Use it only if you want to inspect or regenerate the synthetic data.

This tutorial demonstrates how to conduct a stratified Bayesian survival analysis using a discrete-time beta-binomial approach, as described in the paper: Bayesian Stratified Analysis of Treatment ...

Approximate Bayesian computation (ABC) algorithms are a class of Monte Carlo methods for doing inference when the likelihood function can be simulated from, but not explicitly evaluated. This ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...