| Hidden Markov Models for Time Series: An Introduction Using R W Zucchini, IL MacDonald, R Langrock | 1800* | 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 | 500 | 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 | 422 | 2016 |
| 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 | 372 | 2022 |
| 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 | 294 | 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 | 222 | 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 | 197 | 2020 |
| 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 | 192 | 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 | 133* | 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 | 124 | 2016 |
| 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 | 119 | 2014 |
| 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 | 85 | 2017 |
| Hidden Markov models with arbitrary state dwell-time distributions R Langrock, W Zucchini Computational Statistics & Data Analysis 55 (1), 715-724, 2011 | 85 | 2011 |
| 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 | 83 | 2018 |
| 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 | 81 | 2015 |
| Estimation and simulation of foraging trips in land-based marine predators T Michelot, R Langrock, S Bestley, ID Jonsen, T Photopoulou, ... Ecology, 2017 | 76 | 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 | 73 | 2013 |
| 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 | 72 | 2019 |
| Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity-a multivariate hidden Markov model FM van Beest, S Mews, S Elkenkamp, P Schuhmann, D Tsolak, T Wobbe, ... Scientific Reports 9 (1), 5642, 2019 | 70 | 2019 |
| Nonparametric inference in hidden Markov models using P-splines R Langrock, T Kneib, A Sohn, SL DeRuiter Biometrics 71 (2), 520-528, 2015 | 70 | 2015 |
Ruth KingThomas Bayes' Chair of Statistics, University of Edinburghed.ac.uk의 이메일 확인됨
