Jump to ContentJump to Main Navigation
Bayesian ModelsA Statistical Primer for Ecologists$
Users without a subscription are not able to see the full content.

N. Thompson Hobbs and Mevin B. Hooten

Print publication date: 2015

Print ISBN-13: 9780691159287

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691159287.001.0001

Show Summary Details
Page of

PRINTED FROM PRINCETON SCHOLARSHIP ONLINE (www.princeton.universitypressscholarship.com). (c) Copyright Princeton University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PRSO for personal use.date: 16 May 2022

Likelihood

Likelihood

Chapter:
(p.71) 4 Likelihood
Source:
Bayesian Models
Author(s):

N. Thompson Hobbs

Mevin B. Hooten

Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691159287.003.0004

This chapter is an overview of likelihood and maximum likelihood. Likelihood forms the fundamental link between models and data in the Bayesian framework. In addition, maximum likelihood is a widely used alternative to Bayesian methods for estimating parameters in ecological models. Though is possible to learn Bayesian modeling with a bare-bones treatment of likelihood, the chapter emphasizes the importance of this concept in Bayesian analysis. A significant aspect of likelihood within the Bayesian framework can be found in the similarities and differences between Bayesian analysis and analysis based on maximum likelihood. In addition, the chapter also considers the relationship between a probability distribution and a likelihood function.

Keywords:   likelihood, maximum likelihood, estimating parameters, probability distribution, likelihood functions, likelihood profiles

Princeton Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.