85 Publikationen

Alle markieren

  • [85]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2985771 OA
    Ötting, M., et al., 2024. Demand for live betting: An analysis using state‐space models. Applied Stochastic Models in Business and Industry.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [84]
    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 Workshopon Statistical Modelling. Part II. pp. 294-299.
    PUB
     
  • [83]
    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 | DOI | WoS
     
  • [82]
    2023 | Zeitschriftenaufsatz | Im Druck | PUB-ID: 2978064
    Michels, R., Ötting, M., & Langrock, R., In Press. Bettors’ reaction to match dynamics: Evidence from in-game betting. European Journal of Operational Research.
    PUB | DOI | Download (ext.) | WoS
     
  • [81]
    2022 | Zeitschriftenaufsatz | Unveröffentlicht | PUB-ID: 2963858
    Kaiser, M.I., et al., Unpublished. Interdisciplinary perspectives on individualisation in environments. Interdisciplinary Journal of Philosophy.
    PUB
     
  • [80]
    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
     
  • [79]
    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
     
  • [78]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2947369
    Mews, S., et al., 2022. Maximum approximate likelihood estimation of general continuous-time state-space models. Statistical Modelling, : 1471082X211065785.
    PUB | DOI | WoS
     
  • [77]
    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
     
  • [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 | 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
     
  • [74]
    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.
    PUB | PDF | DOI | WoS
     
  • [73]
    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
     
  • [72]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950458 OA
    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
     
  • [71]
    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
     
  • [70]
    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
     
  • [69]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071 OA
    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: 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
     
  • [67]
    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
     
  • [66]
    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
     
  • [65]
    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
     
  • [64]
    2020 | Preprint | PUB-ID: 2955083
    Mews, S., et al., 2020. Maximum approximate likelihood estimation of general continuous-time state-space models. arXiv:2010.14883.
    PUB | arXiv
     
  • [63]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941474 OA
    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
     
  • [62]
    2020 | Preprint | PUB-ID: 2955084
    Mews, S., et al., 2020. Continuous-time multi-state capture-recapture models. arXiv:2002.10997.
    PUB | arXiv
     
  • [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 OA
    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 | 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
     
  • [54]
    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
     
  • [53]
    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
     
  • [52]
    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
     
  • [51]
    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
     
  • [50]
    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
     
  • [49]
    2019 | Diskussionspapier | Veröffentlicht | PUB-ID: 2932990 OA
    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
     
  • [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 | 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
     
  • [44]
    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
     
  • [43]
    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
     
  • [42]
    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
     
  • [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: 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
     
  • [10]
    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
     
  • [9]
    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
     
  • [8]
    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
     
  • [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.
    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), 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.
    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), p 715-724.
    PUB | DOI | WoS
     

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung