Analyzing complex capture-recapture data in the presence of individual and temporal covariates and model uncertainty

Biometrics

Volumn 64, Issue 4, 2008, Pages 1187-1195

  King, R ^a   Brooks, S P ^b   Coulson, T ^c  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian approach; Covariate information; Missing data; Model discrimination; Reversible jump Markov chain Monte Carlo; Soay sheep

Indexed keywords

BAYESIAN NETWORKS; CHAINS; MARKOV PROCESSES; MONTE CARLO METHODS;

BAYESIAN APPROACHES; COVARIATE INFORMATION; COVARIATES; LARGE AMOUNTS; MISSING DATA; MODELING DISCRIMINATION; MODELING UNCERTAINTIES; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; SOAY SHEEP; TIME VARYING;

UNCERTAINTY ANALYSIS;

ALGORITHM; BAYESIAN ANALYSIS; COVARIANCE ANALYSIS; DATA SET; ECOLOGICAL APPROACH; ECOLOGICAL MODELING; MARK-RECAPTURE METHOD; MARKOV CHAIN; MONTE CARLO ANALYSIS; SHEEP; TEMPORAL VARIATION; UNCERTAINTY ANALYSIS;

AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; MARK RECAPTURE; MATHEMATICAL MODEL; MONTE CARLO METHOD; NONHUMAN; SHEEP; SURVIVAL RATE;

OVIS ARIES;

EID: 56049114896     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.00991.x     Document Type: Article

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