Quantifying expert opinion for modelling fauna habitat distributions
type: Item
instance of: scholarly article
title: Quantifying expert opinion for modelling fauna habitat distributions
zbMATH Open document ID: 1114.62132
author: Shafeeqah A. Al-Awadhi
author: Paul H. Garthwaite
published in: Computational Statistics
publication date: 2007-05-29T00:00:00Z
review text: The paper reports results of an experiment conduced with a group of ecologists in Australia who were questioned about relationships between a variety of environmental attributes and the fauna habitant distributions of a number of species. A Bayesian approach is used to reach a consensus between the sample estimates and the experts opinions. The sampling distribution is described by a generalized additive model. The experts' knowledge is incorporated in a multivariate normal prior. The posterior distribution is evaluated via Markov chain Monte Carlo priors.
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 92D40
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65C40
zbMATH DE Number: 5158593
zbMATH Keywords: Bayesian procedure
zbMATH Keywords: normal prior
zbMATH Keywords: generalized additive model
zbMATH Keywords: Markov chain Monte Carlo
describes a project that uses: WinBUGS
MaRDI profile type: Publication
full work available at URL: s00180-006-0255-x
OpenAlex ID: W1999352807
cites work: An elicitation method for multivariate normal distributions
cites work: Bayesian estimation of the dispersion matrix of a multivariate normal distribution
cites work: Non-conjugate prior distribution assessment for multivariate normal sampling
cites work: Elicitation of prior distributions for variable-selection problems in regression
DOI: 10.1007/S00180-006-0255-X
description: scientific article; zbMATH DE number 5158593