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 MichelotDalhousie UniversityVerified email at dal.ca
Sina MewsPhD student in Statistics, Bielefeld UniversityVerified email at uni-bielefeld.de
Len ThomasCREEM, University of St AndrewsVerified email at st-andrews.ac.uk
Timo AdamBielefeld UniversityVerified email at uni-bielefeld.de
Marius ÖttingPostdoc at Bielefeld UniversityVerified email at uni-bielefeld.de
Floris M. van BeestAssociate Professor (Senior Researcher), Department of Ecoscience, Aarhus UniversityVerified email at bios.au.dk
Jennifer PohleUniversity of PotsdamVerified email at uni-potsdam.de
David BorchersCREEM, University of St AndrewsVerified email at st-andrews.ac.uk
Yannis PapastamatiouAssociate Professor, Florida International UniversityVerified email at fiu.edu
Thomas KneibChair of Statistics, Georg-August-University GöttingenVerified email at uni-goettingen.de
Christian DeutscherProfessor for Sports Economics, Bielefeld UniversityVerified email at uni-bielefeld.de
Stacy DeRuiterDepartment of Mathematics and Statistics, Calvin UniversityVerified email at calvin.edu
Juan M. MoralesSBOHVM, University of GlasgowVerified email at glasgow.ac.uk
Niels Martin SchmidtProfessor at Aarhus University, DenmarkVerified email at bios.au.dk
Theoni PhotopoulouResearch Fellow, University of St AndrewsVerified email at st-andrews.ac.uk
Yuuki WatanabeResearch Center for Integrative Evolutionary Science, The Graduate University for Advanced StudiesVerified email at soken.ac.jp
Robert SchickMarine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke UniversityVerified email at duke.edu

Roland Langrock

Statistics and Data Analysis group, Bielefeld University

Verified email at uni-bielefeld.de - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Hidden Markov Models for Time Series: An Introduction Using R W Zucchini, IL MacDonald, R Langrock	1637*	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	453	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	372	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	246	2017
Big-data approaches lead to an increased understanding of the ecology of animal movement R Nathan, CT Monk, R Arlinghaus, T Adam, J Alós, M Assaf, H Baktoft, ... Science 375 (6582), eabg1780, 2022	226	2022
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	196	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	166	2017
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	148	2020
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	120*	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	115	2014
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	113	2016
Hidden Markov models with arbitrary state dwell-time distributions R Langrock, W Zucchini Computational Statistics & Data Analysis 55 (1), 715-724, 2011	78	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	77	2015
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, 232-248, 2017	73	2017
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	71	2013
Estimation and simulation of foraging trips in land-based marine predators T Michelot, R Langrock, S Bestley, ID Jonsen, T Photopoulou, ... Ecology, 2017	70	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	68	2018
Nonparametric inference in hidden Markov models using P-splines R Langrock, T Kneib, A Sohn, SL DeRuiter Biometrics 71 (2), 520-528, 2015	66	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	62	2011
Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models T Adam, CA Griffiths, V Leos‐Barajas, EN Meese, CG Lowe, PG Blackwell, ... Methods in Ecology and Evolution, 2019	61	2019

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