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. https://doi.org/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). https://doi.org/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. https://doi.org/10.1177/1471082X211065785
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  • [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. https://doi.org/10.48550/ARXIV.2312.14583
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  • [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 (Eds.), Proceedings of the 37th International Workshop on Statistical Modelling. Part II (pp. 294-299).
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  • [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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1214/21-AOAS1528
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  • [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. https://doi.org/10.1016/j.ijforecast.2021.05.010
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  • [74]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460
    Nathan, R., Monk, C. T., Arlinghaus, R., Adam, T., Alos, J., Assaf, M., Baktoft, H., et al. (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582), eabg1780. https://doi.org/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 . https://doi.org/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 (Eds.), 12th ESEA Conference on Sport Economics – Book of Abstracts (pp. 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. https://doi.org/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. https://doi.org/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., et al. (2021). Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific reports, 11(1), 14323. https://doi.org/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. https://doi.org/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., et al. (2021). Reducing vessel noise increases foraging in endangered killer whales. Marine Pollution Bulletin, 173(Pt A), 112976. https://doi.org/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. https://doi.org/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., et al. (2021). Individualised niches: an integrative conceptual framework across behaviour, ecology, and evolution. EcoEvoRxiv. https://doi.org/10.32942/osf.io/7h5xq
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  • [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. 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 (Eds.), Proceedings of the 35th International Workshop on Statistical Modelling. Part I (pp. 189-193). Bilbao: Universidad del País Vasco.
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  • [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. https://doi.org/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. doi:10.1186/s40317-020-00214-y
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  • [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. doi:10.1111/rssa.12527
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  • [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. doi:10.1177/1471082x20956423
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  • [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. 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., et al. (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. 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. 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, 09-2018). Bielefeld: Bielefeld University, Department of Business Administration and Economics. https://doi.org/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, 135-140.
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  • [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, 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., et al. (2019). Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity. A multivariate hidden Markov model. Scientific Reports, 9(1), 5642. doi:10.1038/s41598-019-42109-w
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  • [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, 57-61.
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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, 125-129.
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  • [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, 169-174.
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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., et al. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), 1536-1550. 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. 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. 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, 171-176.
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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. https://doi.org/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, 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., et al. (2018). Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming. Movement Ecology, 6(1), 9. 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, 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, 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. 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. doi:10.1111/stan.12133
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  • [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. https://doi.org/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 (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling. Volume II (pp. 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. 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 (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017 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. 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. 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. 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. 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. 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. doi:10.1007/s10182-017-0307-2
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  • [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. doi:10.1007/s13253-017-0299-0
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  • [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. doi:10.1007/s10182-017-0302-7
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  • [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
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  • [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. doi:10.1214/16-aoas1008
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  • [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., et al. (2016). Sex-specific and individual preferences for hunting strategies in white sharks. Functional Ecology, 30(8), 1397-1407. doi:10.1111/1365-2435.12613
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  • [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. 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, 150) 2nd ed. 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. 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. 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. 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. 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. 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. 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. 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., et al. (2014). Modelling group dynamic animal movement. Methods in Ecology and Evolution, 5(2), 190-199. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. doi:10.1016/j.csda.2010.06.015
    PUB | DOI | WoS
     
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