Roland Langrock

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Ruth KingThomas Bayes' Chair of Statistics, University of EdinburghVerified email at ed.ac.uk
Toby PattersonCSIRO Verified email at csiro.au
Vianey Leos BarajasUniversity of TorontoVerified email at utoronto.ca
Théo MichelotUniversity of St AndrewsVerified email at st-andrews.ac.uk
Len ThomasUniversity of St AndrewsVerified email at st-andrews.ac.uk
Floris M. van BeestSenior Researcher, Department of Bioscience, Aarhus UniversityVerified email at bios.au.dk
Timo AdamUniversity of St Andrews, School of Mathematics and StatisticsVerified email at st-andrews.ac.uk
Yannis PapastamatiouAssistant Professor, Florida International UniversityVerified email at fiu.edu
Thomas KneibChair of Statistics, Georg-August-University GöttingenVerified email at uni-goettingen.de
Jennifer PohleBielefeld UniversityVerified email at uni-bielefeld.de
David BorchersUniversity of St AndrewsVerified email at st-andrews.ac.uk
Juan M. Moraleslaboratorio Ecotono, INIBIOMA, Universidad Nacional del ComahueVerified email at conicet.gov.ar
Stacy DeRuiterDepartment of Mathematics and Statistics, Calvin CollegeVerified email at calvin.edu
Sina MewsPhD student in Statistics, Bielefeld UniversityVerified email at uni-bielefeld.de
Niels Martin SchmidtAarhus University, DenmarkVerified email at bios.au.dk
Marius ÖttingPostdoc at Bielefeld UniversityVerified email at uni-bielefeld.de
Robert SchickMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke UniversityVerified email at duke.edu
Jason MatthiopoulosProfessor, Spatial and population ecology, IBAHCM, University of GlasgowVerified email at glasgow.ac.uk
Daniel FortinUniversité LavalVerified email at bio.ulaval.ca
Theoni PhotopoulouResearch Fellow, University of St AndrewsVerified email at st-andrews.ac.uk

Roland Langrock

Statistics and Data Analysis group, Bielefeld University

Verified email at uni-bielefeld.de - Homepage

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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition W Zucchini, IL MacDonald, R Langrock Chapman & Hall/CRC, 2016	1118*	2016
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	303	2012
moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models T Michelot, R Langrock, TA Patterson Methods in Ecology and Evolution 7 (11), 1308-1315, 2016	208	2016
Selecting the number of states in hidden Markov models — pragmatic solutions illustrated using animal movement J Pohle, R Langrock, F van Beest, NM Schmidt Journal of Agricultural, Biological, and Environmental Statistics, 2017	111*	2017
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, 2017	101*	2017
Modelling group dynamic animal movement R Langrock, G Hopcraft, P Blackwell, V Goodall, R King, M Niu, ... Methods in Ecology and Evolution 5 (2), 190-199, 2014	85	2014
Analysis of animal accelerometer data using hidden Markov models V Leos‐Barajas, T Photopoulou, R Langrock, TA Patterson, YY Watanabe, ... Methods in Ecology and Evolution 8 (2), 161-173, 2017	81	2017
A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure SL DeRuiter, R Langrock, T Skirbutas, JA Goldbogen, J Chalambokidis, ... The Annals of Applied Statistics 11 (1), 362-392, 2017	67*	2017
Sex‐specific and individual preferences for hunting strategies in white sharks AV Towner, V Leos‐Barajas, R Langrock, RS Schick, MJ Smale, ... Functional Ecology 30, 1397-1407, 2016	65	2016
Hidden Markov models with arbitrary state dwell-time distributions R Langrock, W Zucchini Computational Statistics & Data Analysis 55 (1), 715-724, 2011	53	2011
Using mixed hidden Markov models to examine behavioral states in a cooperatively breeding bird AE McKellar, R Langrock, JR Walters, DC Kesler Behavioral Ecology 26 (1), 148-157, 2015	52	2015
Using hidden markov models to deal with availability bias on line transect surveys D Borchers, W Zucchini, M Heide-Jorgensen, A Canadas, R Langrock Biometrics 69 (3), 703-713, 2013	52	2013
On the application of mixed hidden Markov models to multiple behavioural time series S Schliehe-Diecks, PM Kappeler, R Langrock Interface Focus 2, 180-189, 2012	50	2012
Nonparametric inference in hidden Markov models using P-splines R Langrock, T Kneib, A Sohn, SL DeRuiter Biometrics 71 (2), 520-528, 2015	45	2015
Estimation and simulation of foraging trips in land-based marine predators T Michelot, R Langrock, S Bestley, ID Jonsen, T Photopoulou, ... Ecology, 2017	43	2017
Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models R Langrock, IL MacDonald, W Zucchini Journal of Empirical Finance 19 (1), 147-161, 2011	41	2011
Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models R Langrock Journal of Applied Statistics 38 (12), 2955-2970, 2011	38	2011
Maximum likelihood estimation of mark-recapture-recovery models in the presence of continuous covariates R Langrock, R King Annals of Applied Statistics 7 (3), 1709–1732, 2013	37	2013
Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures V Leos-Barajas, EJ Gangloff, T Adam, R Langrock, FM Van Beest, ... Journal of Agricultural, Biological and Environmental Statistics 22 (3), 232-248, 2017	35	2017
Modeling the diving behavior of whales: a latent-variable approach with feedback and semi-Markovian components R Langrock, T Marques, R Baird, L Thomas Journal of Agricultural, Biological and Environmental Statistics 19 (1), 82-100, 2014	28	2014

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