Ruth King

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Steve BrooksSelect StatisticsVerified email at select-statistics.co.uk
Roland LangrockStatistics and Data Analysis group, Bielefeld UniversityVerified email at uni-bielefeld.de
B.J.T.MorganProfessor of Applied Statistics, University of KentVerified email at kent.ac.uk
Len ThomasCREEM, University of St AndrewsVerified email at st-andrews.ac.uk
Sheila M Bird (nee Gore)Professor, biostatisticianVerified email at mrc-bsu.cam.ac.uk
Jason MatthiopoulosProfessor, Spatial and population ecology, SBOHVM, University of GlasgowVerified email at glasgow.ac.uk
S. T. BucklandCREEMVerified email at st-andrews.ac.uk
Olivier GimenezSenior scientist at CNRSVerified email at cefe.cnrs.fr
Juan M. MoralesSBOHVM, University of GlasgowVerified email at glasgow.ac.uk
Ken NewmanBiomathematics and Statistics of Scotland and School of Mathematics, University of EdinburghVerified email at bioss.ac.uk
Brett T. McClintockNOAA National Marine Mammal LaboratoryVerified email at noaa.gov
Toby PattersonCSIRO Verified email at csiro.au
David BorchersCREEM, University of St AndrewsVerified email at st-andrews.ac.uk
Sophie SmoutSOI St Andrews UniversityVerified email at st-andrews.ac.uk
patrick pomeroyresearch scientist, University of St AndrewsVerified email at st-andrews.ac.uk
Hannah WorthingtonVerified email at st-andrews.ac.uk
Simon BonnerUniversity of Western OntarioVerified email at uwo.ca
Tim CoulsonUniversity of OxfordVerified email at biology.ox.ac.uk
Ben SwallowUniversity of St AndrewsVerified email at st-andrews.ac.uk
Robert SchickMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke UniversityVerified email at duke.edu

Ruth King

Thomas Bayes' Chair of Statistics, University of Edinburgh

Verified email at ed.ac.uk - Homepage

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Bayesian statistics and modelling R Van de Schoot, S Depaoli, R King, B Kramer, K Märtens, MG Tadesse, ... Nature Reviews Methods Primers 1 (1), 1, 2021	950	2021
Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions R Langrock, R King, J Matthiopoulos, L Thomas, D Fortin, JM Morales Ecology 93 (11), 2336-2342, 2012	507	2012
Bayesian Analysis for Population Ecology R King, BJT Morgan, O Gimenez, SP Brooks Chapman & Hall, 2009	358	2009
A general discrete-time modeling framework for animal movement using multistate random walks BT McClintock, R King, L Thomas, J Matthiopoulos, BJ McConnell, ... Ecological Monographs 82 (3), 335-349, 2012	313	2012
Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges TA Patterson, A Parton, R Langrock, PG Blackwell, L Thomas, R King AStA Advances in Statistical Analysis 101, 399-438, 2017	227	2017
A Bayesian approach to combining animal abundance and demographic data SP Brooks, R King, BJT Morgan Animal biodiversity and conservation 27 (1), 515-529, 2004	205	2004
Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-space Methods KB Newman, ST Buckland, BJT Morgan, R King, DL Borchers, DJ Cole, ... Springer, 2014	149*	2014
Combining individual animal movement and ancillary biotelemetry data to investigate population‐level activity budgets BT McClintock, DJF Russell, J Matthiopoulos, R King Ecology 94 (4), 838-849, 2013	123	2013
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods O Gimenez, SJ Bonner, R King, RA Parker, SP Brooks, LE Jamieson, ... Modeling demographic processes in marked populations, 883-915, 2009	123	2009
Modelling group dynamic animal movement R Langrock, JGC Hopcraft, PG Blackwell, V Goodall, R King, M Niu, ... Methods in Ecology and Evolution 5, 190-199, 2014	122	2014
Classical model selection via simulated annealing SP Brooks, N Friel, R King Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003	113	2003
On the Bayesian analysis of population size R King, SP Brooks Biometrika 88 (2), 317-336, 2001	107	2001
Statistical ecology R King Annual Review of Statistics and its Application 1 (1), 401-426, 2014	99	2014
A review of Bayesian state-space modelling of capture–recapture–recovery data R King	95	2012
Importance tempering R Gramacy, R Samworth, R King Statistics and Computing 20, 1-7, 2010	84	2010
Multiple Systems Estimation (or Capture-ReCapture Estimation) to Inform Public Policy SM Bird, R King Annual Review of Statistics and Its Application 5 (1), 2018	79	2018
On the Bayesian estimation of a closed population size in the presence of heterogeneity and model uncertainty R King, SP Brooks Biometrics 64 (3), 816-824, 2008	77	2008
Bayesian model discrimination for multiple strata capture‐recapture data R King, SP Brooks Biometrika 89 (4), 785-806, 2002	69	2002
Identifying and diagnosing population declines: a Bayesian assessment of lapwings in the UK R King, SP Brooks, C Mazzetta, SN Freeman, BJT Morgan Journal of the Royal Statistical Society Series C: Applied Statistics 57 (5 …, 2008	65	2008
Maximum likelihood estimation of mark-recapture-recovery models in the presence of continuous covariates R Langrock, R King Annals of Applied Statistics 7, 1709-1732, 2013	58	2013

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