Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions

Montenegro, Carlos Enrique; Branco, Márcia D.

doi:10.1016/j.fishres.2016.03.021

Record: found
Abstract: not found
Article: not found

Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions

Author(s): Carlos Montenegro , Márcia Branco

Publication date Created: September 2016

Publication date (Print): September 2016

Journal: Fisheries Research

Publisher: Elsevier BV

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Journal

Title: Fisheries Research

Abbreviated Title: Fisheries Research

Publisher: Elsevier BV

ISSN (Print): 01657836

Publication date Created: September 2016

Publication date (Print): September 2016

Volume: 181

Pages: 48-62

Article

DOI: 10.1016/j.fishres.2016.03.021

SO-VID: 8dbbe8b5-3d3b-4b8f-a189-351acfab07bc

License:

https://www.elsevier.com/tdm/userlicense/1.0/

History

Data availability:

Comments

Comment on this article

scite_

Cited by 3

See all cited by

Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions

Read this article at

Related collections

The Dynamic Brain

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 1,315

Cited by 3