A3 Book section, Chapters in research books
Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data (2018)

Helske, S., Helske, J., & Eerola, M. (2018). Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data. In G. Ritschard, & M. Studer (Eds.), Sequence Analysis and Related Approaches : Innovative Methods and Applications (pp. 185-200). Springer. Life Course Research and Social Policies, 10. https://doi.org/10.1007/978-3-319-95420-2_11

JYU authors or editors

Publication details

All authors or editors: Helske, Satu; Helske, Jouni; Eerola, Mervi

Parent publication: Sequence Analysis and Related Approaches : Innovative Methods and Applications

Parent publication editors: Ritschard, Gilbert; Studer, Matthias

ISBN: 978-3-319-95419-6

Journal or series: Life Course Research and Social Policies

ISSN: 2211-7776

Publication year: 2018

Number in series: 10

Pages range: 185-200

Number of pages in the book: 297

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-95420-2_11

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/60046

Keywords: demographic statistics; course of life; longitudinal research; sequencing; Markov chains

Free keywords: life sequence data; life course

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 2