Vaccine efficacies (with COVID-19 examples) - Bayesian posterior VE/CI calculations
It was interesting to see that Pfizer/BioNTech used a Bayesian analysis of the primary endpoint for its COVID-19 vaccine. There are a few posts on this alrea...
Recent posts
Gibbs sampling of multivariate probability distributions
This is a continuation of a previous article I have written on Bayesian inference using Markov chain Monte Carlo (MCMC). Here we will extend to multivariate ...
Bayesian inference using Markov Chain Monte Carlo with Python (from scratch and with PyMC3)
A guide to Bayesian inference using Markov Chain Monte Carlo (Metropolis-Hastings algorithm) with python examples, and exploration of different data size/par...
Monte Carlo integration in Python over univariate and multivariate functions
Monte Carlo integration is a basic Monte Carlo method for numerically estimating the integration of a function \(f(x)\). We will discuss here the theory alon...
Getting started with Gaussian process regression modeling
Gaussian processing (GP) is quite a useful technique that enables a non-parametric Bayesian approach to modeling. It has wide applicability in areas such as ...