Recent Advances in Capture-Recapture Methods

1. Recent Advances in • Capture-Recapture Methods Department of Mathematics and Statistics A meeting of the RSS Reading Local Group and the Department of Mathematics and Statistics, University of Reading, UK 9.15am to 5.30pm, Tuesday 24 May 2011 Madejski Lecture Theatre, Agriculture, University of Reading, UK Speakers Professor John Bunge (Cornell University, USA): Population size estimation: The fundamental role of Poisson sampling Professor Marco Alfò (Sapienza University of Rome, Italy): A regression estimator for mixed Binomial CR data Professor Peter van der Heijden (Utrecht University, Netherlands): Invariant populations size estimates and the roles of active and passive covariates Professor Luca Tardella (Sapienza University of Rome, Italy): Likelihood and Bayesian alternatives for behavioral capture-recapture and near and far departures from it Dr Maarten Cruyff (Utrecht University, Netherlands): Sensitivity analysis of population size estimates based on a zero-truncated count variable Dr Irene Rocchetti (Sapienza University of Rome, Italy): Incidence and prevalence estimates for a rare disease: retro-hazard and CR techniques Dr Rachel McCrea (University of Kent, UK): Estimation of population size when capture probability depends on individual states RattanaLerdsuwansri (University of Reading, UK): A lower bound estimator for the size of a shared population Tutorial: Estimating Population Size with CatchAll Presented by Professor John Bunge (Cornell University) Monday,23 May 2011 Time: 3.30 to 5.30pm Location: Statistical Services Centre, Harry Pitt Building, Whiteknights Campus, University of Reading, UK Both of the above events are free to attend. However, registration is required, before a place can be confirmed. To register for the tutorial on 23 May please email James Gallagher (J.Gallagher@reading.ac.uk) To register for the meeting on 24 May please email Fazil Baksh (M.F.Baksh@reading.ac.uk) For more information visit: www.reading.ac.uk/RSSLocal RSS Reading Local Group