24 Publikationen

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  • [24]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982750
    Glennie, R., Adam, T., Leos‐Barajas, V., Michelot, T., Photopoulou, T., and McClintock, B. T. (2023). Hidden Markov models: pitfalls and opportunities in ecology. Methods in Ecology and Evolution 14, 43-56.
    PUB | DOI
     
  • [23]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982760
    Adam, T., Ötting, M., and Michels, R. (2023). “State-switching decision trees” in Proceedings of the 37th International Workshop on Statistical Modelling. Part II, Bergherr, E., Groll, A., and Mayr, A. eds. (Dortmund: TU Dortmund), 321-325.
    PUB
     
  • [22]
    2022 | Blogbeitrag | Veröffentlicht | PUB-ID: 2982761
    Adam, T. (2022). Hidden Markov models have pitfalls…. Methods Blog: the Latest Methods in Ecology and Evolution.
    PUB | Download (ext.)
     
  • [21]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982759
    Adam, T., Glennie, R., and Michelot, T. (2022). “State-switching varying-coefficient stochastic differential equations” in Proceedings of the 36th International Workshop on Statistical Modelling. Part II, Torelli, N., Bellio, R., and Muggeo, V. eds. (Edizioni Università di Trieste), 53-57.
    PUB
     
  • [20]
    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., et al. (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science 375:eabg1780.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963807
    Pohle, J. M., Adam, T., and Beumer, L. T. (2022). Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. Computational Statistics & Data Analysis 172:107479.
    PUB | DOI | WoS
     
  • [18]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962700
    Adam, T., Mayr, A., and Kneib, T. (2022). Gradient boosting in Markov-switching generalized additive models for location, scale, and shape. Econometrics and Statistics 22, 3-16.
    PUB | DOI | WoS
     
  • [17]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982762
    Aquino‐Baleytó, M., Leos‐Barajas, V., Adam, T., Hoyos‐Padilla, M., Santana‐Morales, O., Galván‐Magaña, F., González‐Armas, R., Lowe, C. G., Ketchum, J. T., and Villalobos, H. (2021). Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico. Ecology and Evolution 11, 14932-14949.
    PUB | DOI
     
  • [16]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982757
    Lennox, R. J., Westrelin, S., Souza, A. T., Šmejkal, M., Říha, M., Prchalová, M., Nathan, R., Koeck, B., Killen, S., Jarić, I., et al. (2021). A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems. Movement Ecology 9:40.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [15]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957037
    Oelschläger, L., and Adam, T. (2021). Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models. Statistical Modelling 23, 107-126.
    PUB | DOI | WoS
     
  • [14]
    2021 | Wissenschaftliche Software | PUB-ID: 2982764
    Oelschläger, L., Adam, T., and Michels, R. (2021). fHMM: fitting hidden Markov models to financial data (R package). CRAN.
    PUB
     
  • [13]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071 OA
    Nagel, R., Mews, S., Adam, T., Stainfield, C., Fox-Clarke, C., Toscani, C., Langrock, R., Forcada, J., and Hoffman, J. (2021). Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific reports 11:14323.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC | Preprint
     
  • [12]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982766
    Adam, T., and Oelschläger, L. (2020). “Hidden Markov models for multi-scale time series: an application to stock market data” in Proceedings of the 35th International Workshop on Statistical Modelling. Part I, Irigoien, I., Lee, D. - J., Martínez-Minaya, J., and Rodríguez-Álvarez, M. X. eds. (Bilbao: Universidad del País Vasco), 2-7.
    PUB
     
  • [11]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763
    Pohle, J. M., Adam, T., Langrock, R., and Beumer, L. (2020). “Flexible estimation of the state dwell-time distribution in hidden semi-Markov models” in Proceedings of the 35th International Workshop on Statistical Modelling. Part I, Irigoien, I., Lee, D. - J., Martínez-Minaya, J., and Rodríguez-Álvarez, M. X. eds. (Bilbao: Universidad del País Vasco), 189-193.
    PUB
     
  • [10]
    2020 | Bielefelder E-Dissertation | PUB-ID: 2949182 OA
    Adam, T. (2020). On some flexible extensions of hidden Markov models. Bielefeld: Universität Bielefeld.
    PUB | PDF | DOI
     
  • [9]
    2019 | Wissenschaftliche Software | PUB-ID: 2982765
    Adam, T. (2019). countHMM: penalized estimation of flexible hidden Markov models for time series of counts (R package). CRAN.
    PUB
     
  • [8]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675
    Adam, T., Langrock, R., and 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 135-140.
    PUB
     
  • [7]
    2019 | Konferenzbeitrag | PUB-ID: 2941674
    Adam, T., Langrock, R., and 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 19-22.
    PUB
     
  • [6]
    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., and Langrock, R. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution 10, 1536-1550.
    PUB | DOI | WoS
     
  • [5]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
    Adam, T., Langrock, R., and Weiß, C. H. (2019). Penalized estimation of flexible hidden Markov models for time series of counts. Metron 77, 87-104.
    PUB | DOI | WoS
     
  • [4]
    2018 | Konferenzbeitrag | PUB-ID: 2933002
    Adam, T., Mayr, A., Kneib, T., and Langrock, R. (2018). “Statistical boosting for Markov-switching distributional regression models” in Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1 30-35.
    PUB
     
  • [3]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816
    Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D. L., and Papastamatiou, Y. P. (2018). Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica 72, 179-200.
    PUB | DOI | Download (ext.) | WoS
     
  • [2]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
    Leos-Barajas, V., Gangloff, E. J., Adam, T., Langrock, R., van Beest, F. M., Nabe-Nielsen, J., and 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, 232–248.
    PUB | DOI | WoS
     
  • [1]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894
    Adam, T., Leos-Barajas, V., Langrock, R., and van Beest, F. (2017). “Using hierarchical hidden Markov models for joint inference at multiple temporal scales” in Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017, Grzegorczyk, M., and Ceoldo, G. eds. (Groningen: Univ. of Groningen).
    PUB
     

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