< back to main site

Publications

User manual for NLLSMH: Software implementing a Metropolis-Hastings algorithm for non-linear least squares problems

Jagan, K; Forbes, A B (2018) User manual for NLLSMH: Software implementing a Metropolis-Hastings algorithm for non-linear least squares problems. NPL Report. MS 22

[thumbnail of MS 22]
Preview
Text (MS 22)
MS22.pdf - Published Version

Download (477kB) | Preview

Abstract

This report constitutes a user manual for software developed at the National Physical Laboratory. The software generates samples from a Bayesian posterior distribution for parameters of a non-linear model. The Metropolis-Hastings Markov chain Monte Carlo algorithm is used for this purpose.

Item Type: Report/Guide (NPL Report)
NPL Report No.: MS 22
Subjects: Mathematics and Scientific Computing > Software Support for Metrology
Divisions: Data Science
Last Modified: 18 Jun 2018 12:40
URI: https://eprintspublications.npl.co.uk/id/eprint/7950
View Item