Factors influencing soay sheep survival: a Bayesian analysis.
This article presents a Bayesian analysis of mark-recapture-recovery data on Soay sheep. A reversible jump Markov chain Monte Carlo technique is used to determine age classes of common survival, and to model the survival probabilities in those classes using logistic regression. This involves environmental and individual covariates, as well as random effects. Auxiliary variables are used to impute missing covariates measured on individual sheep. The Bayesian approach suggests different models from those previously obtained using classical statistical methods. Following model averaging, features that were not previously detected, and which are of ecological importance, are identified.
School of Mathematics and Statistics, University of St. Andrews, North Haugh, St. Andrews, Fife KY16 9SS, UK.
R
R
King
S P
SP
Brooks
B J T
BJ
Morgan
T
T
Coulson
D000818:Animals; D001499:Bayes Theorem; D004463:Ecology; D016015:Logistic Models; D008390:Markov Chains; D009010:Monte Carlo Method; D012756:Sheep; D015996:Survival Rate