Roland Langrock

roland.langrock@uni-bielefeld.de
PEVZ-ID
63716504

84 Publikationen

Alle markieren

  • [84]
    2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2999632
    Silvério, J.T., Tachinardi, P., Langrock, R., Kramer-Sunderbrink, A., Oda, G.A. & Valentinuzzi, V.S. (2024). Changes in daily activity patterns throughout the year in a free-living South American subterranean rodent (<i>Ctenomys coludo</i>). Mammalian Biology. Springer . doi:10.1007/s42991-024-00470-y.
    PUB | DOI | WoS
     
  • [83]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985771 OA
    Ötting, M., Michels, R., Langrock, R. & Deutscher, C. (2024). Demand for live betting: An analysis using state‐space models. Applied Stochastic Models in Business and Industry, 40(2). Wiley. doi:10.1002/asmb.2836.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [82]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2947369
    Mews, S., Langrock, R., Ötting, M., Yaqine, H. & Reinecke, J. (2024). Maximum approximate likelihood estimation of general continuous-time state-space models. Statistical Modelling, 24(1), 09-28. Sage. doi:10.1177/1471082X211065785.
    PUB | DOI | WoS
     
  • [81]
    2023 | Preprint | Veröffentlicht | PUB-ID: 3000085
    Koslik, J.-O., Feldmann, C., Mews, S., Michels, R. & Langrock, R. (2023). Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior. arXiv. doi:10.48550/ARXIV.2312.14583.
    PUB | DOI
     
  • [80]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983137
    Stoye, F. & Langrock, R. (2023). Autoregressive hidden Markov models for high-resolution animal movement data. In E. Bergherr, A. Groll & A. Mayr (Hrsg.), Proceedings of the 37th International Workshop on Statistical Modelling. Part II (S. 294-299). Gehalten auf der IWSM 2023. 37th International Workshop on Statistical Modelling.
    PUB
     
  • [79]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978064
    Michels, R., Ötting, M. & Langrock, R. (2023). Bettors’ reaction to match dynamics: Evidence from in-game betting. European Journal of Operational Research, 310(3), 1118-1127. Elsevier. doi:10.1016/j.ejor.2023.04.006.
    PUB | DOI | Download (ext.) | WoS
     
  • [78]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982778 OA
    Feldmann, C., Mews, S., Coculla, A., Stanewsky, R. & Langrock, R. (2023). Flexible Modelling of Diel and Other Periodic Variation in Hidden Markov Models. Journal of Statistical Theory and Practice , 17(3): 45. Springer. doi:10.1007/s42519-023-00342-7.
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  • [77]
    2022 | Preprint | Veröffentlicht | PUB-ID: 2963063
    Winkelmann, D., Ulrich, M., Römer, M., Langrock, R. & Jahnke, H. (2022). Dynamic Stochastic Inventory Management in E-Grocery Retailing: The Value of Probabilistic Information. arXiv:2205.06572. doi:10.48550/ARXIV.2205.06572.
    PUB | DOI | arXiv
     
  • [76]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964341
    Mews, S., Langrock, R., King, R. & Quick, N. (2022). Multistate capture–recapture models for irregularly sampled data. Annals of Applied Statistics, 16(2), 982-998. Institute of Mathematical Statistics (IMS). doi:10.1214/21-AOAS1528.
    PUB | DOI | WoS
     
  • [75]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960422
    Ulrich, M., Jahnke, H., Langrock, R., Pesch, R. & Senge, R. (2022). Classification-based model selection in retail demand forecasting. International Journal of Forecasting , 38(1), 209-223. Elsevier. doi:10.1016/j.ijforecast.2021.05.010.
    PUB | DOI | WoS
     
  • [74]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460
    Nathan, R., Monk, C.T., Arlinghaus, R., Adam, T., Alos, J., Assaf, M., Baktoft, H., Beardsworth, C.E., Bertram, M.G., Bijleveld, A.I., Brodin, T., Brooks, J.L., Campos-Candela, A., Cooke, S.J., Gjelland, K.O., Gupte, P.R., Harel, R., Hellstrom, G., Jeltsch, F., Killen, S.S., Klefoth, T., Langrock, R., Lennox, R.J., Lourie, E., Madden, J.R., Orchan, Y., Pauwels, I.S., Riha, M., Roeleke, M., Schlagel, U.E., Shohami, D., Signer, J., Toledo, S., Vilk, O., Westrelin, S., Whiteside, M.A. & Jaric, I. (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582): eabg1780. American Association for the Advancement of Science. doi:10.1126/science.abg1780.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [73]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967111
    Lieber, L., Füchtencordsjürgen, C., Hilder, R.L., Revering, P., Siekmann, I., Langrock, R. & Nimmo-Smith, W.A.M. (2022). Selective foraging behavior of seabirds in small-scale slicks. Limnology and Oceanography Letters . Wiley. doi:10.1002/lol2.10289.
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  • [72]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978258
    Deutscher, C., Michels, R., Ötting, M. & Langrock, R. (2021). Patterns of betting behavior for news in live betting markets. In C. Deutscher & P. Wicker (Hrsg.), 12th ESEA Conference on Sport Economics – Book of Abstracts (S. 33-35).
    PUB
     
  • [71]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950458 OA
    Schwarz, J., Mews, S., De Rango, E., Langrock, R., Piedrahita, P., Páez-Rosas, D. & Krüger, O. (2021). Individuality counts: A new comprehensive approach to foraging strategies of a tropical marine predator. Oecologia, 195(2), 313–325. Springer Nature. doi:10.1007/s00442-021-04850-w.
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  • [70]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941031
    Ulrich, M., Jahnke, H., Langrock, R., Pesch, R. & Senge, R. (2021). Distributional regression for demand forecasting in e-grocery. European Journal of Operational Research, 294(3), 831-842. Elsevier. doi:10.1016/j.ejor.2019.11.029.
    PUB | DOI | WoS
     
  • [69]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071 OA
    Nagel, R., Mews, S., Adam, T., Stainfield, C., Fox-Clarke, C., Toscani, C., Langrock, R., Forcada, J. & Hoffman, J. (2021). Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific reports, 11(1): 14323. Springer Nature. doi:10.1038/s41598-021-93253-1.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC | Preprint
     
  • [68]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2953327 OA
    Ötting, M., Langrock, R. & Maruotti, A. (2021). A copula-based multivariate hidden Markov model for modelling momentum in football. AStA Advances in Statistical Analysis. Springer Science and Business Media LLC. doi:10.1007/s10182-021-00395-8.
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  • [67]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957903
    Williams, R., Ashe, E., Yruretagoyena, L., Mastick, N., Siple, M., Wood, J., Joy, R., Langrock, R., Mews, S. & Finne, E. (2021). Reducing vessel noise increases foraging in endangered killer whales. Marine Pollution Bulletin, 173(Pt A): 112976. Elsevier. doi:10.1016/j.marpolbul.2021.112976.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [66]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954297
    Lieber, L., Langrock, R. & Nimmo-Smith, W.A.M. (2021). A bird's-eye view on turbulence: seabird foraging associations with evolving surface flow features. Proceedings of the Royal Society B: Biological Sciences, 288(1949): 20210592. The Royal Society. doi:10.1098/rspb.2021.0592.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [65]
    2021 | Preprint | Veröffentlicht | PUB-ID: 2955065
    Krüger, O., Anaya-Rojas, J., Caspers, B., Chakarov, N., Elliott-Graves, A., Fricke, C., Gadau, J., Goßmann, T., Hoffman, J., Kaiser, M.I., Kaiser, S., Korsten, P., Krohs, U., Kurtz, J., Langrock, R., Müller, C., Peuß, R., Reinhold, K., Richter, H., Sachser, N., Schielzeth, H., Schmoll, T., Stanewsky, R., Szekely, T., Weissing, F.J., Wittmann, M. & Xu, S. (2021). Individualised niches: an integrative conceptual framework across behaviour, ecology, and evolution. EcoEvoRxiv. Center for Open Science. doi:10.32942/osf.io/7h5xq.
    PUB | DOI
     
  • [64]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950106
    Byrnes, E.E., Daly, R., Leos-Barajas, V., Langrock, R. & Gleiss, A.C. (2021). Evaluating the constraints governing activity patterns of a coastal marine top predator. Marine Biology, 168(1): 11. Springer . doi:10.1007/s00227-020-03803-w.
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  • [63]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763
    Pohle, J.M., Adam, T., Langrock, R. & Beumer, L. (2020). Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. In I. Irigoien, D.-J. Lee, J. Martínez-Minaya & M.X. Rodríguez-Álvarez (Hrsg.), Proceedings of the 35th International Workshop on Statistical Modelling. Part I (S. 189-193). Gehalten auf der 35th International Workshop on Statistical Modelling, Bilbao: Universidad del País Vasco.
    PUB
     
  • [62]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941474 OA
    Ötting, M., Deutscher, C., Schneemann, S., Langrock, R., Gehrmann, S. & Scholten, H. (2020). Performance under pressure in skill tasks: An analysis of professional darts. PLOS ONE, 15(2): e0228870. Public Library of Science. doi:10.1371/journal.pone.0228870.
    PUB | Dateien verfügbar | DOI | WoS | PubMed | Europe PMC
     
  • [61]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945202
    Harrington, K.J., Fahlbusch, J.A., Langrock, R., Therrien, J.-F., Houtz, J.L. & McDonald, B.I. (2020). Seasonal activity levels of a farm-island population of striated caracaras (Phalcoboenus australis) in the Falkland Islands. Animal Biotelemetry, 8(1): 27. BioMed Central. doi:10.1186/s40317-020-00214-y.
    PUB | DOI | WoS
     
  • [60]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939171 OA
    Ötting, M., Langrock, R., Deutscher, C. & Leos-Barajas, V. (2020). The hot hand in professional darts. Journal of the Royal Statistical Society. Series A, 183(2), 565-580. Wiley. doi:10.1111/rssa.12527.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [59]
    2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2946671
    Pohle, J.M., Langrock, R., Schaar, M. van der, King, R. & Jensen, F.H. (2020). A primer on coupled state-switching models for multiple interacting time series. Statistical Modelling: 1471082X2095642. SAGE Publications. doi:10.1177/1471082x20956423.
    PUB | DOI | WoS
     
  • [58]
    2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2946641
    McClintock, B.T., Langrock, R., Gimenez, O., Cam, E., Borchers, D.L., Glennie, R. & Patterson, T.A. (2020). Uncovering ecological state dynamics with hidden Markov models. Ecology Letters: ele.13610. Wiley. doi:10.1111/ele.13610.
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  • [57]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943857
    Beumer, L.T., Pohle, J.M., Schmidt, N.M., Chimienti, M., Desforges, J.-P., Hansen, L.H., Langrock, R., Pedersen, S.H., Stelvig, M. & van Beest, F.M. (2020). An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore. Movement Ecology, 8(1): 25. Springer Science and Business Media LLC. doi:10.1186/s40462-020-00213-x.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [56]
    2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2943379
    Glennie, R., Buckland, S.T., Langrock, R., Gerrodette, T., Ballance, L.T., Chivers, S.J. & Scott, M.D. (2020). Incorporating animal movement into distance sampling. Journal of the American Statistical Association, 1-17. Taylor & Francis. doi:10.1080/01621459.2020.1764362.
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  • [55]
    2019 | Diskussionspapier | Veröffentlicht | PUB-ID: 2932990 OA
    Ulrich, M., Jahnke, H., Langrock, R., Pesch, R. & Senge, R. (2019). Distributional regression for demand forecasting in e-grocery (Universität Bielefeld Working Papers in Economics and Management). Bielefeld: Bielefeld University, Department of Business Administration and Economics. doi:10.4119/unibi/2932990.
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  • [54]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675
    Adam, T., Langrock, R. & Weiß, C. (2019). Non-parametric inference in hidden Markov models for time series of counts. Proceedings of the 34th International Workshop on Statistical Modelling, Volume I (S. 135-140). Gehalten auf der 34th International Workshop on Statistical Modelling.
    PUB
     
  • [53]
    2019 | Konferenzbeitrag | PUB-ID: 2941674
    Adam, T., Langrock, R. & Kneib, T. (2019). Model-based clustering of time series data: a flexible approach using non-parametric state-switching quantile regression models. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis (S. 19-22).
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  • [52]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2934781
    van Beest, F.M., Mews, S., Elkenkamp, S., Schuhmann, P., Tsolak, D., Wobbe, T., Bartolino, V., Bastardie, F., Dietz, R., von Dorrien, C., Galatius, A., Karlsson, O., McConnell, B., Nabe-Nielsen, J., Olsen, M.T., Teilmann, J. & Langrock, R. (2019). Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity. A multivariate hidden Markov model. Scientific Reports, 9(1): 5642. Springer Nature. doi:10.1038/s41598-019-42109-w.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [51]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941679
    Pohle, J.M., Ötting, M., Jensen, F.H. & Langrock, R. (2019). Modeling interactions between individuals using coupled hidden Markov models. Proceedings of the 34th International Workshop on Statistical Modelling. Volume I (S. 57-61). Gehalten auf der 34th International Workshop on Statistical Modelling.
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  • [50]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941678
    Ötting, M., Langrock, R. & Maruotti, A. (2019). A copula-based multivariate hidden Markov model for modelling momentum in football. Proceedings of the 34th International Workshop on Statistical Modelling. Volume I (S. 125-129). Gehalten auf der 34th International Workshop on Statistical Modelling.
    PUB
     
  • [49]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941676
    Mews, S., Langrock, R., King, R., Schemm, J., Janzen, I. & Quick, N. (2019). A continuous-time capture-recapture model for annual movements of bottlenose dolphins. Proceedings of the 34th International Workshop on Statistical Modelling. Volume I (S. 169-174). Gehalten auf der 34th International Workshop on Statistical Modelling.
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  • [48]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689
    Adam, T., Griffiths, C.A., Leos-Barajas, V., Meese, E.N., Lowe, C.G., Blackwell, P.G., Righton, D. & Langrock, R. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), 1536-1550. British Ecological Society. doi:10.1111/2041-210x.13241.
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  • [47]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
    Adam, T., Langrock, R. & Weiß, C.H. (2019). Penalized estimation of flexible hidden Markov models for time series of counts. Metron, 77(2), 87-104. Springer. doi:10.1007/s40300-019-00153-6.
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  • [46]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936765
    Bulla, J., Langrock, R. & Maruotti, A. (2019). Guest editor’s introduction to the special issue on “Hidden Markov Models: Theory and Applications”. Metron, 77(2), 63-66. Springer. doi:10.1007/s40300-019-00157-2.
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  • [45]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941680
    Langrock, R., Ulrich, M., Jahnke, H., Pesch, R. & Senge, R. (2018). Distributional regression for demand forecasting in e-grocery — a case study. Proceedings of the 33rd International Workshop on Statistical Modelling. Volume 2 (S. 171-176). Gehalten auf der 33th International Workshop on Statistical Modelling.
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  • [44]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932997
    Ötting, M., Langrock, R. & Deutscher, C. (2018). Integrating multiple data sources in match-fixing warning systems. Statistical Modelling, 18(5-6), 483-504. Sage. doi:10.1177/1471082x18804933.
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  • [43]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933003
    Ötting, M., Langrock, R., Deutscher, C. & Leos-Barajas, V. (2018). The hot hand in professional darts. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1 (S. 231-236).
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  • [42]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2921189
    Papastamatiou, Y.P., Watanabe, Y.Y., Demšar, U., Leos-Barajas, V., Bradley, D., Langrock, R., Weng, K., Lowe, C.G., Friedlander, A.M. & Caselle, J.E. (2018). Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming. Movement Ecology, 6(1): 9. Springer Nature. doi:10.1186/s40462-018-0127-3.
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  • [41]
    2018 | Konferenzbeitrag | PUB-ID: 2933004
    Pohle, J.M., King, R., van der Schaar, M. & Langrock, R. (2018). Coupled Markov-switching regression: inference and a case study using electronic health record data. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1 (S. 242-246).
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  • [40]
    2018 | Konferenzbeitrag | PUB-ID: 2933002
    Adam, T., Mayr, A., Kneib, T. & Langrock, R. (2018). Statistical boosting for Markov-switching distributional regression models. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1 (S. 30-35).
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  • [39]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915695
    Hambuckers, J., Kneib, T., Langrock, R. & Sohn, A. (2018). A Markov-switching generalized additive model for compound Poisson processes, with applications to operational losses models. Quantitative Finance, 18(10), 1679-1698. Informa UK Limited. doi:10.1080/14697688.2017.1417625.
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  • [38]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816
    Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D.L. & Papastamatiou, Y.P. (2018). Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica, 72(3), 179-200. Wiley. doi:10.1111/stan.12133.
    PUB | DOI | Download (ext.) | WoS
     
  • [37]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
    Leos-Barajas, V., Gangloff, E.J., Adam, T., Langrock, R., van Beest, F.M., Nabe-Nielsen, J. & Morales, J.M. (2017). Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures. Journal of Agricultural, Biological and Environmental Statistics, 22(3), 232–248. Springer Nature. doi:10.1007/s13253-017-0282-9.
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  • [36]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913895
    Ötting, M., Deutscher, C. & Langrock, R. (2017). Detecting Match-Fixing in the Italian Serie B Using Flexible Regression. In M. Grzegorczyk, & G. Ceoldo (Hrsg.), Proceedings of the 32nd International Workshop on Statistical Modelling. Volume II (S. 243-246).
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  • [35]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902625
    Langrock, R., Kneib, T., Glennie, R. & Michelot, T. (2017). Markov-switching generalized additive models. Statistics and Computing, 27(1), 259-270. Springer Science + Business Media. doi:10.1007/s11222-015-9620-3.
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  • [34]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894
    Adam, T., Leos-Barajas, V., Langrock, R. & van Beest, F. (2017). Using hierarchical hidden Markov models for joint inference at multiple temporal scales. In M. Grzegorczyk & G. Ceoldo (Hrsg.), Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017. Gehalten auf der 32nd International Workshop on Statistical Modelling, Groningen: Univ. of Groningen.
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  • [33]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910999
    Michelot, T., Langrock, R., Bestley, S., Jonsen, I.D., Photopoulou, T. & Patterson, T.A. (2017). Estimation and simulation of foraging trips in land-based marine predators. Ecology, 98(7), 1932-1944. Wiley-Blackwell. doi:10.1002/ecy.1880.
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  • [32]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909601
    Abanto-Valle, C.A., Langrock, R., Chen, M.-H. & Cardoso, M.V. (2017). Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions. Applied Stochastic Models in Business and Industry, 33(4), 394–408. Wiley-Blackwell. doi:10.1002/asmb.2246.
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  • [31]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911989
    Pohle, J., Langrock, R., van Beest, F.M. & Schmidt, N.M. (2017). Selecting the Number of States in Hidden Markov Models: Pragmatic Solutions Illustrated Using Animal Movement. Journal of Agricultural, Biological and Environmental Statistics, 22(3), 270–293. Springer Nature. doi:10.1007/s13253-017-0283-8.
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  • [30]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906537
    Leos-Barajas, V., Photopoulou, T., Langrock, R., Patterson, T.A., Watanabe, Y.Y., Murgatroyd, M. & Papastamatiou, Y.P. (2017). Analysis of animal accelerometer data using hidden Markov models. Methods in Ecology and Evolution, 8(2), 161-173. Wiley-Blackwell. doi:10.1111/2041-210x.12657.
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  • [29]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908117
    Popov, V., Langrock, R., DeRuiter, S.L. & Visser, F. (2017). An analysis of pilot whale vocalization activity using hidden Markov models. The Journal of the Acoustical Society of America, 141(1), 159-171. Acoustical Society of America (ASA). doi:10.1121/1.4973624.
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  • [28]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914958
    Langrock, R. & Borchers, D.L. (2017). Guest editors’ introduction to the special issue on “Ecological Statistics”. AStA Advances in Statistical Analysis, 101(4), 345-347. Springer Nature. doi:10.1007/s10182-017-0307-2.
    PUB | DOI | WoS
     
  • [27]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913885
    Hooten, M.B., King, R. & Langrock, R. (2017). Guest Editor’s Introduction to the Special Issue on “Animal Movement Modeling”. Journal of Agricultural, Biological and Environmental Statistics, 22(3), 224-231. Springer Nature. doi:10.1007/s13253-017-0299-0.
    PUB | DOI | WoS
     
  • [26]
    2017 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2913884
    Patterson, T.A., Parton, A., Langrock, R., Blackwell, P.G., Thomas, L. & King, R. (2017). Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges. AStA Advances in Statistical Analysis, 101(4), 399-438. Springer Nature. doi:10.1007/s10182-017-0302-7.
    PUB | DOI | WoS
     
  • [25]
    2017 | Konferenzbeitrag | PUB-ID: 2913896
    Pohle, J.M. & Langrock, R. (2017). Pragmatic order selection in hidden Markov models. Proceedings of the 32nd IWSM Vol. 1.
    PUB
     
  • [24]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910166
    DeRuiter, S.L., Langrock, R., Skirbutas, T., Goldbogen, J.A., Calambokidis, J., Friedlaender, A.S. & Southall, B.L. (2017). A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure. The Annals of Applied Statistics, 11(1), 362-392. Institute of Mathematical Statistics. doi:10.1214/16-aoas1008.
    PUB | DOI | WoS
     
  • [23]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902626
    Towner, A.V., Leos-Barajas, V., Langrock, R., Schick, R.S., Smale, M.J., Kaschke, T., Jewell, O.J.D. & Papastamatiou, Y.P. (2016). Sex-specific and individual preferences for hunting strategies in white sharks. Functional Ecology, 30(8), 1397-1407. Wiley-Blackwell. doi:10.1111/1365-2435.12613.
    PUB | DOI | WoS
     
  • [22]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902988
    Michelot, T., Langrock, R. & Patterson, T.A. (2016). moveHMM: An R package for the statistical modelling of animal movement data using hidden Markov models. Methods Ecol Evol, 7(11), 1308-1315. Wiley-Blackwell. doi:10.1111/2041-210x.12578.
    PUB | DOI | WoS
     
  • [21]
    2016 | Monographie | Veröffentlicht | PUB-ID: 2906538
    Zucchini, W., MacDonald, I.L. & Langrock, R. (2016). Hidden Markov Models for Time Series: An Introduction Using R (Monographs on statistics and applied probability). Boca Raton: CRC Press, Taylor & Francis.
    PUB
     
  • [20]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902629
    Borchers, D.L. & Langrock, R. (2015). Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics, 71(4), 1060-1069. Wiley-Blackwell. doi:10.1111/biom.12341.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902627
    King, R. & Langrock, R. (2015). Semi-Markov Arnason-Schwarz models. Biometrics, 72(2), 619-628. Wiley-Blackwell. doi:10.1111/biom.12446.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902631
    Langrock, R., Michelot, T., Sohn, A. & Kneib, T. (2015). Semiparametric stochastic volatility modelling using penalized splines. Computational Statistics, 30(2), 517-537. Springer Science + Business Media. doi:10.1007/s00180-014-0547-5.
    PUB | DOI | WoS
     
  • [17]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902628
    Michelot, T., Langrock, R., Kneib, T. & King, R. (2015). Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models. Biometrical Journal, 58(1), 222-239. Wiley-Blackwell. doi:10.1002/bimj.201400222.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [16]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902630
    Langrock, R., Kneib, T., Sohn, A. & DeRuiter, S.L. (2015). Nonparametric inference in hidden Markov models using P-splines. Biometrics, 71(2), 520-528. Wiley-Blackwell. doi:10.1111/biom.12282.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [15]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902632
    McKellar, A.E., Langrock, R., Walters, J.R. & Kesler, D.C. (2014). Using mixed hidden Markov models to examine behavioral states in a cooperatively breeding bird. Behavioral Ecology, 26(1), 148-157. Oxford University Press (OUP). doi:10.1093/beheco/aru171.
    PUB | DOI | WoS
     
  • [14]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902633
    Langrock, R., Heidenreich, N.-B. & Sperlich, S. (2014). Kernel-based semiparametric multinomial logit modelling of political party preferences. Statistical Methods & Applications, 23(3), 435-449. Springer Science + Business Media. doi:10.1007/s10260-014-0261-z.
    PUB | DOI | WoS
     
  • [13]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902635
    Langrock, R., Hopcraft, J.G.C., Blackwell, P.G., Goodall, V., King, R., Niu, M., Patterson, T.A., Pedersen, M.W., Skarin, A. & Schick, R.S. (2014). Modelling group dynamic animal movement. Methods in Ecology and Evolution, 5(2), 190-199. Wiley-Blackwell. doi:10.1111/2041-210x.12155.
    PUB | DOI | WoS
     
  • [12]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902620
    Langrock, R., Borchers, D.L. & Skaug, H.J. (2013). Markov-modulated nonhomogeneous Poisson processes for modeling detections in surveys of marine mammal abundance. Journal of the American Statistical Association, 108(503), 840-851. Informa UK Limited. doi:10.1080/01621459.2013.797356.
    PUB | DOI | WoS
     
  • [11]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902622
    Langrock, R., Swihart, B.J., Caffo, B.S., Punjabi, N.M. & Crainiceanu, C.M. (2013). Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms. Statistics in Medicine, 32(19), 3342-3356. Wiley-Blackwell. doi:10.1002/sim.5747.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [10]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902634
    Langrock, R., Marques, T.A., Baird, R.W. & Thomas, L. (2013). Modeling the Diving Behavior of Whales: A Latent-Variable Approach with Feedback and Semi-Markovian Components. Journal of Agricultural, Biological, and Environmental Statistics, 19(1), 82-100. Springer Science + Business Media. doi:10.1007/s13253-013-0158-6.
    PUB | DOI | WoS
     
  • [9]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902624
    Langrock, R. & King, R. (2013). Maximum likelihood estimation of mark–recapture–recovery models in the presence of continuous covariates. Ann. Appl. Stat., 7(3), 1709-1732. Institute of Mathematical Statistics. doi:10.1214/13-aoas644.
    PUB | DOI | WoS
     
  • [8]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902636
    Borchers, D.L., Zucchini, W., Heide-Jørgensen, M.P., Cañadas, A. & Langrock, R. (2013). Using hidden Markov models to deal with availability bias on line transect surveys. Biometrics, 69(3), 703-713. Wiley-Blackwell. doi:10.1111/biom.12049.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [7]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902637
    Schliehe-Diecks, S., Kappeler, P.M. & Langrock, R. (2012). On the application of mixed hidden Markov models to multiple behavioural time series. Interface Focus, 2(2), 180-189. The Royal Society. doi:10.1098/rsfs.2011.0077.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902619
    Wichelhaus, C. & Langrock, R. (2012). Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes. Electronic Journal of Statistics, 6, 1670-1714. Institute of Mathematical Statistics. doi:10.1214/12-ejs725.
    PUB | DOI | WoS
     
  • [5]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902621
    Langrock, R., King, R., Matthiopoulos, J., Thomas, L., Fortin, D. & Morales, J.M. (2012). Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions. Ecology, 93(11), 2336-2342. Wiley-Blackwell. doi:10.1890/11-2241.1.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [4]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902623
    Langrock, R. (2012). Flexible Latent-State Modelling of Old Faithful's Eruption Inter-Arrival Times in 2009. Australian & New Zealand Journal of Statistics, 54(3), 261-279. Wiley-Blackwell. doi:10.1111/j.1467-842x.2012.00669.x.
    PUB | DOI | WoS
     
  • [3]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902618
    Langrock, R., MacDonald, I.L. & Zucchini, W. (2011). Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models. Journal of Empirical Finance, 19(1), 147-161. Elsevier BV. doi:10.1016/j.jempfin.2011.09.003.
    PUB | DOI | WoS
     
  • [2]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902617
    Langrock, R. (2011). Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models. Journal of Applied Statistics, 38(12), 2955-2970. Informa UK Limited. doi:10.1080/02664763.2011.573543.
    PUB | DOI | WoS
     
  • [1]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902616
    Langrock, R. & Zucchini, W. (2011). Hidden Markov models with arbitrary state dwell-time distributions. Computational Statistics & Data Analysis, 55(1), 715-724. Elsevier BV. doi:10.1016/j.csda.2010.06.015.
    PUB | DOI | WoS
     
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