Model-based clustering of time series data: a flexible approach using non-parametric state-switching quantile regression models
Adam T, Langrock R, Kneib T (2019)
In: Proceedings of the 12th Scientific Meeting on Classification and Data Analysis. 19-22.
Konferenzbeitrag | Englisch
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Autor*in
Adam, TimoUniBi;
Langrock, RolandUniBi;
Kneib, Thomas
Einrichtung
Erscheinungsjahr
2019
Titel des Konferenzbandes
Proceedings of the 12th Scientific Meeting on Classification and Data Analysis
Seite(n)
19-22
Page URI
https://pub.uni-bielefeld.de/record/2941674
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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.
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. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis, 19-22.
Adam, Timo, Langrock, Roland, and Kneib, Thomas. 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.
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.
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.
T. Adam, R. Langrock, and T. Kneib, “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, 2019, pp.19-22.
Adam, 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).
Adam, Timo, Langrock, Roland, and Kneib, Thomas. “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. 2019. 19-22.
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