Timo Adam

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

26 Publikationen

Alle markieren

  • [26]
    2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2999960
    Lennox RJ, Adam T, Riha M, Klappstein N, Monk CT, Vollset KW, Beumer LT (2024)
    Movement in 3D: Novel Opportunities for Understanding Animal Behaviour and Space Use.
    Ethology .
    PUB | DOI | WoS
     
  • [25]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2990082 OA
    Adam T, Ötting M, Michels R (2024)
    Markov-switching decision trees.
    AStA Advances in Statistical Analysis 108(2): 461–476.
    PUB | PDF | DOI | WoS
     
  • [24]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982750
    Glennie R, Adam T, Leos‐Barajas V, Michelot T, Photopoulou T, McClintock BT (2023)
    Hidden Markov models: pitfalls and opportunities in ecology.
    Methods in Ecology and Evolution 14(1): 43-56.
    PUB | DOI
     
  • [23]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982760
    Adam T, Ötting M, Michels R (2023)
    State-switching decision trees.
    In: Proceedings of the 37th International Workshop on Statistical Modelling. Part II. Bergherr E, Groll A, 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, 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, Muggeo V (Eds); Edizioni Università di Trieste: 53-57.
    PUB
     
  • [20]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460
    Nathan R, Monk CT, Arlinghaus R, Adam T, Alos J, Assaf M, Baktoft H, Beardsworth CE, Bertram MG, Bijleveld AI, Brodin T, Brooks JL, Campos-Candela A, Cooke SJ, Gjelland KO, Gupte PR, Harel R, Hellstrom G, Jeltsch F, Killen SS, Klefoth T, Langrock R, Lennox RJ, Lourie E, Madden JR, Orchan Y, Pauwels IS, Riha M, Roeleke M, Schlagel UE, Shohami D, Signer J, Toledo S, Vilk O, Westrelin S, Whiteside MA, Jaric I (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
     
  • [19]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963807
    Pohle JM, Adam T, Beumer LT (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, 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: 2955071 OA
    Nagel R, Mews S, Adam T, Stainfield C, Fox-Clarke C, Toscani C, Langrock R, Forcada J, Hoffman J (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
     
  • [16]
    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 CG, Ketchum JT, Villalobos H (2021)
    Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico.
    Ecology and Evolution 11(21): 14932-14949.
    PUB | DOI
     
  • [15]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982757
    Lennox RJ, Westrelin S, Souza AT, Šmejkal M, Říha M, Prchalová M, Nathan R, Koeck B, Killen S, Jarić I, Gjelland K, Hollins J, Hellstrom G, Hansen H, Cooke SJ, Boukal D, Brooks JL, Brodin T, Baktoft H, Adam T, Arlinghaus R (2021)
    A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems.
    Movement Ecology 9(1): 40.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957037
    Oelschläger L, Adam T (2021)
    Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models.
    Statistical Modelling 23(2): 107-126.
    PUB | DOI | WoS
     
  • [13]
    2021 | Wissenschaftliche Software | PUB-ID: 2982764
    Oelschläger L, Adam T, Michels R (2021)
    fHMM: fitting hidden Markov models to financial data (R package).
    CRAN.
    PUB
     
  • [12]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982766
    Adam T, 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, Rodríguez-Álvarez MX (Eds); Bilbao: Universidad del País Vasco: 2-7.
    PUB
     
  • [11]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763
    Pohle JM, Adam T, Langrock R, 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, Rodríguez-Álvarez MX (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, 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, 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 CA, Leos-Barajas V, Meese EN, Lowe CG, Blackwell PG, Righton D, Langrock R (2019)
    Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models.
    Methods in Ecology and Evolution 10(9): 1536-1550.
    PUB | DOI | WoS
     
  • [5]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
    Adam T, Langrock R, Weiß CH (2019)
    Penalized estimation of flexible hidden Markov models for time series of counts.
    Metron 77(2): 87-104.
    PUB | DOI | WoS
     
  • [4]
    2018 | Konferenzbeitrag | PUB-ID: 2933002
    Adam T, Mayr A, Kneib T, 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 DL, Papastamatiou YP (2018)
    Spline-based nonparametric inference in general state-switching models.
    Statistica Neerlandica 72(3): 179-200.
    PUB | DOI | Download (ext.) | WoS
     
  • [2]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
    Leos-Barajas V, Gangloff EJ, Adam T, Langrock R, van Beest FM, Nabe-Nielsen J, Morales JM (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.
    PUB | DOI | WoS
     
  • [1]
    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: Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017. Grzegorczyk M, Ceoldo G (Eds); Groningen: Univ. of Groningen.
    PUB
     
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