About this document
Bayesian Inversion: A Gentle Tutorial by Pesta Sigalingging is a document available to read on EtoBox.
This document provides an introduction to statistical inversion using the Bayesian paradigm. It begins with definitions of deterministic and random events, and introduces concepts from probability theory such as probability spaces. The document then discusses construction of likelihoods and priors in Bayesian inference before explaining how the posterior distribution provides a solution to Bayesian inverse problems. Markov chain Monte Carlo methods for sampling from posterior distributions are also introduc
- Author
- Pesta Sigalingging
- Language
- EN