Timo Adam

timo.adam@uni-bielefeld.de
PEVZ-ID
78829300

24 Publikationen

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  • [24]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982750
    Glennie R, Adam T, Leos‐Barajas V, Michelot T, Photopoulou T, McClintock BT. Hidden Markov models: pitfalls and opportunities in ecology. Methods in Ecology and Evolution. 2023;14(1):43-56.
    PUB | DOI
     
  • [23]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982760
    Adam T, Ötting M, Michels R. State-switching decision trees. In: Bergherr E, Groll A, Mayr A, eds. Proceedings of the 37th International Workshop on Statistical Modelling. Part II. Dortmund: TU Dortmund; 2023: 321-325.
    PUB
     
  • [22]
    2022 | Blogbeitrag | Veröffentlicht | PUB-ID: 2982761
    Adam T. Hidden Markov models have pitfalls…. Methods Blog: the Latest Methods in Ecology and Evolution. 2022.
    PUB | Download (ext.)
     
  • [21]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982759
    Adam T, Glennie R, Michelot T. State-switching varying-coefficient stochastic differential equations. In: Torelli N, Bellio R, Muggeo V, eds. Proceedings of the 36th International Workshop on Statistical Modelling. Part II. Edizioni Università di Trieste; 2022: 53-57.
    PUB
     
  • [20]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460
    Nathan R, Monk CT, Arlinghaus R, et al. Big-data approaches lead to an increased understanding of the ecology of animal movement. Science. 2022;375(6582): eabg1780.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963807
    Pohle JM, Adam T, Beumer LT. Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. Computational Statistics & Data Analysis . 2022;172: 107479.
    PUB | DOI | WoS
     
  • [18]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962700
    Adam T, Mayr A, Kneib T. Gradient boosting in Markov-switching generalized additive models for location, scale, and shape. Econometrics and Statistics . 2022;22:3-16.
    PUB | DOI | WoS
     
  • [17]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071 OA
    Nagel R, Mews S, Adam T, et al. Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific reports. 2021;11(1): 14323.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC | Preprint
     
  • [16]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982762
    Aquino‐Baleytó M, Leos‐Barajas V, Adam T, et al. Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico. Ecology and Evolution. 2021;11(21):14932-14949.
    PUB | DOI
     
  • [15]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982757
    Lennox RJ, Westrelin S, Souza AT, et al. A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems. Movement Ecology. 2021;9(1): 40.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957037
    Oelschläger L, Adam T. Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models. Statistical Modelling. 2021;23(2):107-126.
    PUB | DOI | WoS
     
  • [13]
    2021 | Wissenschaftliche Software | PUB-ID: 2982764
    Oelschläger L, Adam T, Michels R. fHMM: fitting hidden Markov models to financial data (R package). CRAN; 2021.
    PUB
     
  • [12]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982766
    Adam T, Oelschläger L. Hidden Markov models for multi-scale time series: an application to stock market data. In: Irigoien I, Lee D-J, Martínez-Minaya J, Rodríguez-Álvarez MX, eds. Proceedings of the 35th International Workshop on Statistical Modelling. Part I. Bilbao: Universidad del País Vasco; 2020: 2-7.
    PUB
     
  • [11]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763
    Pohle JM, Adam T, Langrock R, Beumer L. Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. In: Irigoien I, Lee D-J, Martínez-Minaya J, Rodríguez-Álvarez MX, eds. Proceedings of the 35th International Workshop on Statistical Modelling. Part I. Bilbao: Universidad del País Vasco; 2020: 189-193.
    PUB
     
  • [10]
    2020 | Bielefelder E-Dissertation | PUB-ID: 2949182 OA
    Adam T. On some flexible extensions of hidden Markov models. Bielefeld: Universität Bielefeld; 2020.
    PUB | PDF | DOI
     
  • [9]
    2019 | Wissenschaftliche Software | PUB-ID: 2982765
    Adam T. countHMM: penalized estimation of flexible hidden Markov models for time series of counts (R package). CRAN; 2019.
    PUB
     
  • [8]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675
    Adam T, Langrock R, Weiß C. Non-parametric inference in hidden Markov models for time series of counts. In: Proceedings of the 34th International Workshop on Statistical Modelling, Volume I. 2019: 135-140.
    PUB
     
  • [7]
    2019 | Konferenzbeitrag | PUB-ID: 2941674
    Adam T, Langrock R, Kneib T. 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. 2019: 19-22.
    PUB
     
  • [6]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689
    Adam T, Griffiths CA, Leos-Barajas V, et al. Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution. 2019;10(9):1536-1550.
    PUB | DOI | WoS
     
  • [5]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
    Adam T, Langrock R, Weiß CH. Penalized estimation of flexible hidden Markov models for time series of counts. Metron. 2019;77(2):87-104.
    PUB | DOI | WoS
     
  • [4]
    2018 | Konferenzbeitrag | PUB-ID: 2933002
    Adam T, Mayr A, Kneib T, Langrock R. Statistical boosting for Markov-switching distributional regression models. In: Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1. 2018: 30-35.
    PUB
     
  • [3]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816
    Langrock R, Adam T, Leos-Barajas V, Mews S, Miller DL, Papastamatiou YP. Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica. 2018;72(3):179-200.
    PUB | DOI | Download (ext.) | WoS
     
  • [2]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
    Leos-Barajas V, Gangloff EJ, Adam T, et al. Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures. Journal of Agricultural, Biological and Environmental Statistics. 2017;22(3):232–248.
    PUB | DOI | WoS
     
  • [1]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894
    Adam T, Leos-Barajas V, Langrock R, van Beest F. Using hierarchical hidden Markov models for joint inference at multiple temporal scales. In: Grzegorczyk M, Ceoldo G, eds. Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017. Groningen: Univ. of Groningen; 2017.
    PUB
     
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