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
Jennifer PohleUniversity of PotsdamVerified email at uni-potsdam.de
Thomas KneibChair of Statistics, Georg-August-University GöttingenVerified email at uni-goettingen.de
David BorchersUniversity of St AndrewsVerified email at st-andrews.ac.uk
Stacy DeRuiterDepartment of Mathematics and Statistics, Calvin UniversityVerified email at calvin.edu
Juan M. Moraleslaboratorio Ecotono, INIBIOMA, Universidad Nacional del ComahueVerified email at conicet.gov.ar
Marius ÖttingPostdoc at Bielefeld UniversityVerified email at uni-bielefeld.de
Sina MewsPhD student in Statistics, Bielefeld UniversityVerified email at uni-bielefeld.de
Niels Martin SchmidtProfessor at Aarhus University, DenmarkVerified email at bios.au.dk
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 W Zucchini, IL MacDonald, R Langrock	1301*	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	342	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	251	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	140*	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	136*	2017
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	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	93	2014
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	84*	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	78	2016
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	62	2015
Hidden Markov models with arbitrary state dwell-time distributions R Langrock, W Zucchini Computational Statistics & Data Analysis 55 (1), 715-724, 2011	61	2011
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	55	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	53	2012
Nonparametric inference in hidden Markov models using P-splines R Langrock, T Kneib, A Sohn, SL DeRuiter Biometrics 71 (2), 520-528, 2015	51	2015
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	51	2011
Estimation and simulation of foraging trips in land-based marine predators T Michelot, R Langrock, S Bestley, ID Jonsen, T Photopoulou, ... Ecology, 2017	50	2017
Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming YP Papastamatiou, YY Watanabe, U Demšar, V Leos-Barajas, D Bradley, ... Movement Ecology 6 (1), 9, 2018	47	2018
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	45	2017
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	42	2013
Uncovering ecological state dynamics with hidden Markov models BT McClintock, R Langrock, O Gimenez, E Cam, DL Borchers, R Glennie, ... Ecology Letters 23 (12), 1878-1903, 2020	41	2020

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