Data cloning: Easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods

Ecology Letters

Volumn 10, Issue 7, 2007, Pages 551-563

  Lele, Subhash R ^a   Dennis, Brian ^b   Lutscher, Frithjof ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF IDAHO   (United States)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Bayesian statistics; Density dependence; Fisher information; Frequentist statistics; Generalized linear mixed models; Hierarchical models; Markov chain Monte Carlo; State space models; Stochastic population models

Indexed keywords

ALGORITHM; BAYESIAN ANALYSIS; DATA ACQUISITION; DENSITY DEPENDENCE; ECOLOGICAL MODELING; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; POPULATION MODELING; SOFTWARE; STOCHASTICITY;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; ECOLOGY; ECOSYSTEM; METHODOLOGY; MONTE CARLO METHOD; POPULATION DYNAMICS; PROBABILITY; STATISTICAL MODEL;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; ECOLOGY; ECOSYSTEM; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; POPULATION DYNAMICS;

EID: 34249822549     PISSN: 1461023X     EISSN: 14610248     Source Type: Journal    
DOI: 10.1111/j.1461-0248.2007.01047.x     Document Type: Article

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