Model-based Clustering of Time Series Data: a Flexible Approach using Nonparametric 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
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 Nonparametric 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 Nonparametric State-switching Quantile Regression Models. 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 Nonparametric 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 Nonparametric 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 Nonparametric 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 Nonparametric 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 Nonparametric State-switching Quantile Regression Models”. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis. 2019. 19-22.

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