PUB - Publikationen an der Universität Bielefeld

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• [24]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982750

  Glennie, R., et al., 2023. Hidden Markov models: pitfalls and opportunities in ecology. Methods in Ecology and Evolution, 14(1), p 43-56.

  PUB | DOI
   
• [23]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982760

  Adam, T., Ötting, M., & Michels, R., 2023. State-switching decision trees. In E. Bergherr, A. Groll, & A. Mayr, eds. Proceedings of the 37th International Workshop on Statistical Modelling. Part II. Dortmund: TU Dortmund, pp. 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 N. Torelli, R. Bellio, & V. Muggeo, eds. Proceedings of the 36th International Workshop on Statistical Modelling. Part II. Edizioni Università di Trieste, pp. 53-57.

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• [20]
  

  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
   
• [19]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963807

  Pohle, J.M., Adam, T., & 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., & Kneib, T., 2022. Gradient boosting in Markov-switching generalized additive models for location, scale, and shape. Econometrics and Statistics , 22, p 3-16.

  PUB | DOI | WoS
   
• [17]
  

  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
   
• [16]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982762

  Aquino‐Baleytó, M., et al., 2021. Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico. Ecology and Evolution, 11(21), p 14932-14949.

  PUB | DOI
   
• [15]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982757

  Lennox, R.J., et al., 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), p 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 I. Irigoien, et al., eds. Proceedings of the 35th International Workshop on Statistical Modelling. Part I. Bilbao: Universidad del País Vasco, pp. 2-7.

  PUB
   
• [11]
  

  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
   
• [10]
  

  2020 | Bielefelder E-Dissertation | PUB-ID: 2949182

  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. pp. 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. pp. 19-22.

  PUB
   
• [6]
  

  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
   
• [5]
  

  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
   
• [4]
  

  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
   
• [3]
  

  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
   
• [2]
  

  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
   
• [1]
  

  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