26 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982760Adam, T., Ötting, M., Michels, R.: State-switching decision trees. In: Bergherr, E., Groll, A., and Mayr, A. (eds.) Proceedings of the 37th International Workshop on Statistical Modelling. Part II. p. 321-325. TU Dortmund, Dortmund (2023).PUB
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2022 | Blogbeitrag | Veröffentlicht | PUB-ID: 2982761Adam, T.: Hidden Markov models have pitfalls…. Methods Blog: the Latest Methods in Ecology and Evolution. (2022).PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982759Adam, T., Glennie, R., Michelot, T.: State-switching varying-coefficient stochastic differential equations. In: Torelli, N., Bellio, R., and Muggeo, V. (eds.) Proceedings of the 36th International Workshop on Statistical Modelling. Part II. p. 53-57. Edizioni Università di Trieste (2022).PUB
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460Nathan, R., Monk, C.T., Arlinghaus, R., Adam, T., Alos, J., Assaf, M., Baktoft, H., Beardsworth, C.E., Bertram, M.G., Bijleveld, A.I., Brodin, T., Brooks, J.L., Campos-Candela, A., Cooke, S.J., Gjelland, K.O., Gupte, P.R., Harel, R., Hellstrom, G., Jeltsch, F., Killen, S.S., Klefoth, T., Langrock, R., Lennox, R.J., Lourie, E., Madden, J.R., Orchan, Y., Pauwels, I.S., Riha, M., Roeleke, M., Schlagel, U.E., Shohami, D., Signer, J., Toledo, S., Vilk, O., Westrelin, S., Whiteside, M.A., Jaric, I.: Big-data approaches lead to an increased understanding of the ecology of animal movement. Science. 375, : eabg1780 (2022).PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2955071Nagel, R., Mews, S., Adam, T., Stainfield, C., Fox-Clarke, C., Toscani, C., Langrock, R., Forcada, J., Hoffman, J.: Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific reports. 11, : 14323 (2021).PUB | PDF | DOI | WoS | PubMed | Europe PMC | Preprint
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982762Aquino‐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., Villalobos, H.: Diving deeper into the underlying white shark behaviors at Guadalupe Island, Mexico. Ecology and Evolution. 11, 14932-14949 (2021).PUB | DOI
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982757Lennox, R.J., Westrelin, S., Souza, A.T., Šmejkal, M., Říha, M., Prchalová, M., Nathan, R., Koeck, B., Killen, S., Jarić, I., Gjelland, K., Hollins, J., Hellstrom, G., Hansen, H., Cooke, S.J., Boukal, D., Brooks, J.L., Brodin, T., Baktoft, H., Adam, T., Arlinghaus, R.: A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems. Movement Ecology. 9, : 40 (2021).PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Wissenschaftliche Software | PUB-ID: 2982764Oelschläger, L., Adam, T., Michels, R.: fHMM: fitting hidden Markov models to financial data (R package). CRAN (2021).PUB
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982766Adam, 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., and Rodríguez-Álvarez, M.X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Part I. p. 2-7. Universidad del País Vasco, Bilbao (2020).PUB
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982763Pohle, J.M., 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., and Rodríguez-Álvarez, M.X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Part I. p. 189-193. Universidad del País Vasco, Bilbao (2020).PUB
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2019 | Wissenschaftliche Software | PUB-ID: 2982765Adam, T.: countHMM: penalized estimation of flexible hidden Markov models for time series of counts (R package). CRAN (2019).PUB
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675Adam, T., Langrock, R., Weiß, C.: Non-parametric inference in hidden Markov models for time series of counts. Proceedings of the 34th International Workshop on Statistical Modelling, Volume I. p. 135-140. (2019).PUB
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2019 | Konferenzbeitrag | PUB-ID: 2941674Adam, T., Langrock, R., Kneib, T.: Model-based clustering of time series data: a flexible approach using non-parametric state-switching quantile regression models. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis. p. 19-22. (2019).PUB
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689Adam, T., Griffiths, C.A., Leos-Barajas, V., Meese, E.N., Lowe, C.G., Blackwell, P.G., Righton, D., Langrock, R.: Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution. 10, 1536-1550 (2019).PUB | DOI | WoS
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2018 | Konferenzbeitrag | PUB-ID: 2933002Adam, T., Mayr, A., Kneib, T., Langrock, R.: Statistical boosting for Markov-switching distributional regression models. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1. p. 30-35. (2018).PUB
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D.L., Papastamatiou, Y.P.: Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica. 72, 179-200 (2018).PUB | DOI | Download (ext.) | WoS
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528Leos-Barajas, V., Gangloff, E.J., Adam, T., Langrock, R., van Beest, F.M., Nabe-Nielsen, J., Morales, J.M.: 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 (2017).PUB | DOI | WoS
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894Adam, T., Leos-Barajas, V., Langrock, R., van Beest, F.: Using hierarchical hidden Markov models for joint inference at multiple temporal scales. In: Grzegorczyk, M. and Ceoldo, G. (eds.) Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017. Univ. of Groningen, Groningen (2017).PUB