title: Semiparametric regression in capture-recapture modeling.
abstract: Capture-recapture models were developed to estimate survival using data arising from marking and monitoring wild animals over time. Variation in survival may be explained by incorporating relevant covariates. We propose nonparametric and semiparametric regression methods for estimating survival in capture-recapture models. A fully Bayesian approach using Markov chain Monte Carlo simulations was employed to estimate the model parameters. The work is illustrated by a study of Snow petrels, in which survival probabilities are expressed as nonlinear functions of a climate covariate, using data from a 40-year study on marked individuals, nesting at Petrels Island, Terre Adélie.
authors.affiliation: Institute of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, Kent CT2 7NF, UK.
authors.forename: O
authors.initials: O
authors.lastname: Gimenez
authors.forename: C
authors.initials: C
authors.lastname: Crainiceanu
authors.forename: C
authors.initials: C
authors.lastname: Barbraud
authors.forename: S
authors.initials: S
authors.lastname: Jenouvrier
authors.forename: B J T
authors.initials: BJ
authors.lastname: Morgan
mesh_terms: D000818:Animals; D000835:Animals, Wild; D001499:Bayes Theorem; D001699:Biometry / Q000379:methods*; D001717:Birds; D016013:Likelihood Functions; D008954:Models, Biological; D015233:Models, Statistical; D011157:Population Dynamics; D011336:Probability; D012044:Regression Analysis; D016019:Survival Analysis