About this document
Parameter Estimation Techniques by Unryu Shi is a document available to read on EtoBox.
This document discusses parameter estimation techniques, including maximum likelihood estimation and Bayesian estimation. It covers the contents of parameter estimation, maximum likelihood estimation, Bayesian estimation, and provides examples of parameter estimation for Gaussian distributions when the mean and variance are known or unknown. The goal of parameter estimation is to estimate unknown parameter vectors from sample data sets using maximum likelihood or Bayesian approaches.
- Author
- Unryu Shi
- Language
- EN