Skip to content

Research at St Andrews

Statistical ecology

Research output: Contribution to journalArticle

Abstract

Statistical ecology is the area of statistics that deals with the development of new methodology for analysing ecological data. Advanced statistical models and techniques are often needed to provide robust statistical analyses of the available data. The statistical models that are developed can often be separated into two distinct processes: a system process that describes the underlying biological system coupled with an observation process. The system process is often a function of the demographic parameters of interest, such as survival probabilities, transition rates between states and/or abundance; while the observation process describes the data collection process, with the associated observation model parameters conditional on the underlying state of the system. This paper focuses on a number of common forms of ecological data and discusses the associated models and model-fitting approaches, including the incorporation of heterogeneity with the given biological system and integration of different data sources.
Close

Details

Original languageEnglish
Pages (from-to)401-426
JournalAnnual Review of Statistics and its Application
Volume1
Early online date20 Nov 2013
DOIs
Publication statusPublished - Jan 2014

    Research areas

  • heterogeneity, integrated data, Markov model, observation process, system process

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by journal

  1. Bayesian computing with INLA: a review

    Rue, H., Riebler, A., Sørbye, S. H., Illian, J. B., Simpson, D. P. & Lindgren, F. K., Mar 2017, In : Annual Review of Statistics and its Application. 4, p. 395-421 17 p.

    Research output: Contribution to journalReview article

ID: 83301364