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• [84]
  

  2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2999632

  Silvério, J.T., et al., 2024. Changes in daily activity patterns throughout the year in a free-living South American subterranean rodent (<i>Ctenomys coludo</i>). Mammalian Biology.

  PUB | DOI | WoS
   
• [83]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985771

  Ötting, M., et al., 2024. Demand for live betting: An analysis using state‐space models. Applied Stochastic Models in Business and Industry, 40(2).

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [82]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2947369

  Mews, S., et al., 2024. Maximum approximate likelihood estimation of general continuous-time state-space models. Statistical Modelling, 24(1), p 09-28.

  PUB | DOI | WoS
   
• [81]
  

  2023 | Preprint | Veröffentlicht | PUB-ID: 3000085

  Koslik, J.-O., et al., 2023. Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior.

  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, 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), p 1118-1127.

  PUB | DOI | Download (ext.) | WoS
   
• [78]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982778

  Feldmann, C., et al., 2023. Flexible Modelling of Diel and Other Periodic Variation in Hidden Markov Models. Journal of Statistical Theory and Practice , 17(3): 45.

  PUB | Datei | DOI | WoS
   
• [77]
  

  2022 | Preprint | Veröffentlicht | PUB-ID: 2963063

  Winkelmann, D., et al., 2022. Dynamic Stochastic Inventory Management in E-Grocery Retailing: The Value of Probabilistic Information. arXiv:2205.06572.

  PUB | DOI | arXiv
   
• [76]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964341

  Mews, S., et al., 2022. Multistate capture–recapture models for irregularly sampled data. Annals of Applied Statistics, 16(2), p 982-998.

  PUB | DOI | WoS
   
• [75]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960422

  Ulrich, M., et al., 2022. Classification-based model selection in retail demand forecasting. International Journal of Forecasting , 38(1), p 209-223.

  PUB | DOI | WoS
   
• [74]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460

  Nathan, R., et al., 2022. Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582): eabg1780.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [73]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967111

  Lieber, L., et al., 2022. Selective foraging behavior of seabirds in small-scale slicks. Limnology and Oceanography Letters .

  PUB | DOI | WoS
   
• [72]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2978258

  Deutscher, C., et al., 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

  Schwarz, J., et al., 2021. Individuality counts: A new comprehensive approach to foraging strategies of a tropical marine predator. Oecologia, 195(2), p 313–325.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [70]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941031

  Ulrich, M., et al., 2021. Distributional regression for demand forecasting in e-grocery. European Journal of Operational Research, 294(3), p 831-842.

  PUB | DOI | WoS
   
• [69]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071

  Nagel, 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.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC | Preprint
   
• [68]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2953327

  Ötting, M., Langrock, R., & Maruotti, A., 2021. A copula-based multivariate hidden Markov model for modelling momentum in football. AStA Advances in Statistical Analysis.

  PUB | PDF | DOI | WoS
   
• [67]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957903

  Williams, R., et al., 2021. Reducing vessel noise increases foraging in endangered killer whales. Marine Pollution Bulletin, 173(Pt A): 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.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [65]
  

  2021 | Preprint | Veröffentlicht | PUB-ID: 2955065

  Krüger, O., et al., 2021. Individualised niches: an integrative conceptual framework across behaviour, ecology, and evolution. EcoEvoRxiv.

  PUB | DOI
   
• [64]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950106

  Byrnes, E.E., et al., 2021. Evaluating the constraints governing activity patterns of a coastal marine top predator. Marine Biology, 168(1): 11.

  PUB | DOI | WoS
   
• [63]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763

  Pohle, J.M., et al., 2020. Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. In I. Irigoien, et al., eds. Proceedings of the 35th International Workshop on Statistical Modelling. Part I. Bilbao: Universidad del País Vasco, pp. 189-193.

  PUB
   
• [62]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941474

  Ötting, M., et al., 2020. Performance under pressure in skill tasks: An analysis of professional darts. PLOS ONE, 15(2): e0228870.

  PUB | Dateien verfügbar | DOI | WoS | PubMed | Europe PMC
   
• [61]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945202

  Harrington, K.J., et al., 2020. Seasonal activity levels of a farm-island population of striated caracaras (Phalcoboenus australis) in the Falkland Islands. Animal Biotelemetry, 8(1): 27.

  PUB | DOI | WoS
   
• [60]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939171

  Ötting, M., et al., 2020. The hot hand in professional darts. Journal of the Royal Statistical Society. Series A, 183(2), p 565-580.

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [59]
  

  2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2946671

  Pohle, J.M., et al., 2020. A primer on coupled state-switching models for multiple interacting time series. Statistical Modelling, : 1471082X2095642.

  PUB | DOI | WoS
   
• [58]
  

  2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2946641

  McClintock, B.T., et al., 2020. Uncovering ecological state dynamics with hidden Markov models. Ecology Letters, : ele.13610.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [57]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943857

  Beumer, L.T., 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.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [56]
  

  2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2943379

  Glennie, R., et al., 2020. Incorporating animal movement into distance sampling. Journal of the American Statistical Association, , p 1-17.

  PUB | DOI | WoS
   
• [55]
  

  2019 | Diskussionspapier | Veröffentlicht | PUB-ID: 2932990

  Ulrich, M., et al., 2019. Distributional regression for demand forecasting in e-grocery, Universität Bielefeld Working Papers in Economics and Management, no.09-2018, Bielefeld: Bielefeld University, Department of Business Administration and Economics.

  PUB | PDF | DOI
   
• [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. In Proceedings of the 34th International Workshop on Statistical Modelling, Volume I. pp. 135-140.

  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. In Proceedings of the 12th Scientific Meeting on Classification and Data Analysis. pp. 19-22.

  PUB
   
• [52]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2934781

  van Beest, F.M., 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.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [51]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941679

  Pohle, J.M., et al., 2019. Modeling interactions between individuals using coupled hidden Markov models. In Proceedings of the 34th International Workshop on Statistical Modelling. Volume I. pp. 57-61.

  PUB
   
• [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. In Proceedings of the 34th International Workshop on Statistical Modelling. Volume I. pp. 125-129.

  PUB
   
• [49]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941676

  Mews, S., et al., 2019. A continuous-time capture-recapture model for annual movements of bottlenose dolphins. In Proceedings of the 34th International Workshop on Statistical Modelling. Volume I. pp. 169-174.

  PUB
   
• [48]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689

  Adam, T., et al., 2019. Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), p 1536-1550.

  PUB | DOI | WoS
   
• [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), p 87-104.

  PUB | DOI | WoS
   
• [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), p 63-66.

  PUB | DOI | WoS
   
• [45]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941680

  Langrock, R., et al., 2018. Distributional regression for demand forecasting in e-grocery — a case study. In Proceedings of the 33rd International Workshop on Statistical Modelling. Volume 2. pp. 171-176.

  PUB
   
• [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), p 483-504.

  PUB | DOI | WoS
   
• [43]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933003

  Ötting, M., et al., 2018. The hot hand in professional darts. In Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1. pp. 231-236.

  PUB
   
• [42]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2921189

  Papastamatiou, Y.P., et al., 2018. Activity seascapes highlight central place foraging strategies in marine predators that never stop swimming. Movement Ecology, 6(1): 9.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [41]
  

  2018 | Konferenzbeitrag | PUB-ID: 2933004

  Pohle, J.M., et al., 2018. Coupled Markov-switching regression: inference and a case study using electronic health record data. In Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1. pp. 242-246.

  PUB
   
• [40]
  

  2018 | Konferenzbeitrag | PUB-ID: 2933002

  Adam, T., et al., 2018. Statistical boosting for Markov-switching distributional regression models. In Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1. pp. 30-35.

  PUB
   
• [39]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915695

  Hambuckers, J., et al., 2018. A Markov-switching generalized additive model for compound Poisson processes, with applications to operational losses models. Quantitative Finance, 18(10), p 1679-1698.

  PUB | DOI | WoS
   
• [38]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816

  Langrock, R., et al., 2018. Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica, 72(3), p 179-200.

  PUB | DOI | Download (ext.) | WoS
   
• [37]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528

  Leos-Barajas, V., et al., 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), p 232–248.

  PUB | DOI | WoS
   
• [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.

  PUB
   
• [35]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902625

  Langrock, R., et al., 2017. Markov-switching generalized additive models. Statistics and Computing, 27(1), p 259-270.

  PUB | DOI | WoS
   
• [34]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894

  Adam, T., et al., 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.

  PUB
   
• [33]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910999

  Michelot, T., et al., 2017. Estimation and simulation of foraging trips in land-based marine predators. Ecology, 98(7), p 1932-1944.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [32]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909601

  Abanto-Valle, C.A., et al., 2017. Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions. Applied Stochastic Models in Business and Industry, 33(4), p 394–408.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [31]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911989

  Pohle, J., et al., 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), p 270–293.

  PUB | DOI | WoS
   
• [30]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906537

  Leos-Barajas, V., et al., 2017. Analysis of animal accelerometer data using hidden Markov models. Methods in Ecology and Evolution, 8(2), p 161-173.

  PUB | DOI | WoS
   
• [29]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908117

  Popov, V., et al., 2017. An analysis of pilot whale vocalization activity using hidden Markov models. The Journal of the Acoustical Society of America, 141(1), p 159-171.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [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), p 345-347.

  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), p 224-231.

  PUB | DOI | WoS
   
• [26]
  

  2017 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2913884

  Patterson, T.A., et al., 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), p 399-438.

  PUB | DOI | WoS
   
• [25]
  

  2017 | Konferenzbeitrag | PUB-ID: 2913896

  Pohle, J.M., & Langrock, R., 2017. Pragmatic order selection in hidden Markov models. In Proceedings of the 32nd IWSM Vol. 1.

  PUB
   
• [24]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910166

  DeRuiter, S.L., et al., 2017. A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure. The Annals of Applied Statistics, 11(1), p 362-392.

  PUB | DOI | WoS
   
• [23]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902626

  Towner, A.V., et al., 2016. Sex-specific and individual preferences for hunting strategies in white sharks. Functional Ecology, 30(8), p 1397-1407.

  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), p 1308-1315.

  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, no.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), p 1060-1069.

  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), p 619-628.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [18]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902631

  Langrock, R., et al., 2015. Semiparametric stochastic volatility modelling using penalized splines. Computational Statistics, 30(2), p 517-537.

  PUB | DOI | WoS
   
• [17]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902628

  Michelot, T., et al., 2015. Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models. Biometrical Journal, 58(1), p 222-239.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [16]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902630

  Langrock, R., et al., 2015. Nonparametric inference in hidden Markov models using P-splines. Biometrics, 71(2), p 520-528.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [15]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902632

  McKellar, A.E., et al., 2014. Using mixed hidden Markov models to examine behavioral states in a cooperatively breeding bird. Behavioral Ecology, 26(1), p 148-157.

  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), p 435-449.

  PUB | DOI | WoS
   
• [13]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902635

  Langrock, R., et al., 2014. Modelling group dynamic animal movement. Methods in Ecology and Evolution, 5(2), p 190-199.

  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), p 840-851.

  PUB | DOI | WoS
   
• [11]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902622

  Langrock, R., et al., 2013. Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms. Statistics in Medicine, 32(19), p 3342-3356.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [10]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902634

  Langrock, R., et al., 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), p 82-100.

  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), p 1709-1732.

  PUB | DOI | WoS
   
• [8]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902636

  Borchers, D.L., et al., 2013. Using hidden Markov models to deal with availability bias on line transect surveys. Biometrics, 69(3), p 703-713.

  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), p 180-189.

  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, p 1670-1714.

  PUB | DOI | WoS
   
• [5]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902621

  Langrock, R., et al., 2012. Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions. Ecology, 93(11), p 2336-2342.

  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), p 261-279.

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• [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), p 147-161.

  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), p 2955-2970.

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  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), p 715-724.

  PUB | DOI | WoS