Gaussian mixture models for time series modelling, forecasting, and interpolation

Emil Eirola; Amaury Lendasse

doi:10.1007/978-3-642-41398-8_15

Gaussian mixture models for time series modelling, forecasting, and interpolation

Emil Eirola
, Amaury Lendasse

Aalto University
Ikerbasque Basque Foundation for Science
University of the Basque Country

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings
Pages	162-173
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-41398-8_15
State	Published - 2013
Externally published	Yes
Event	12th International Symposium on Intelligent Data Analysis, IDA 2013 - London, United Kingdom Duration: Oct 17 2013 → Oct 19 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8207 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Symposium on Intelligent Data Analysis, IDA 2013
Country/Territory	United Kingdom
City	London
Period	10/17/13 → 10/19/13

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Gaussian mixture model
missing data
time series

Access to Document

10.1007/978-3-642-41398-8_15

Cite this

Eirola, E., & Lendasse, A. (2013). Gaussian mixture models for time series modelling, forecasting, and interpolation. In Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings (pp. 162-173). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8207 LNCS). https://doi.org/10.1007/978-3-642-41398-8_15

Gaussian mixture models for time series modelling, forecasting, and interpolation. / Eirola, Emil; Lendasse, Amaury.
Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings. 2013. p. 162-173 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8207 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eirola, E & Lendasse, A 2013, Gaussian mixture models for time series modelling, forecasting, and interpolation. in Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8207 LNCS, pp. 162-173, 12th International Symposium on Intelligent Data Analysis, IDA 2013, London, United Kingdom, 10/17/13. https://doi.org/10.1007/978-3-642-41398-8_15

Eirola E, Lendasse A. Gaussian mixture models for time series modelling, forecasting, and interpolation. In Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, Proceedings. 2013. p. 162-173. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-41398-8_15

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Gaussian mixture models for time series modelling, forecasting, and interpolation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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