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BASS: Bayesian Analyzer of Event Sequences

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COMPSTAT

Abstract

We describe the BASS system, a Bayesian analyzer of event sequences. BASS uses Markov chain Monte Carlo methods, especially Metropolis-Hastings algorithm, for exploring posterior distributions. The system allows the user to specify an intensity model in a high-level definition language, and then runs the Metropolis-Hastings algorithm on it.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Helsinki, P.O. Box 26 (Teollisuuskatu 23), FIN-00014, Helsinki, Finland

    H. Mannila, M. Salmenkivi, R. Suramo & H. Toivonen

  2. Department of Mathematical Sciences Linnanmaa, University of Oulu, FIN-90570, Oulu, Finland

    E. Arjas

Authors
  1. E. Arjas
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  2. H. Mannila
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  3. M. Salmenkivi
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  4. R. Suramo
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  5. H. Toivonen
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Editor information

Editors and Affiliations

  1. Departament d’Estadística i Investigació Operativa, Universitat Politécnica de Catalunya, Avd. Diagonal, 647, E-08028, Barcelona, España

    Albert Prat

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© 1996 Physica-Verlag Heidelberg

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Arjas, E., Mannila, H., Salmenkivi, M., Suramo, R., Toivonen, H. (1996). BASS: Bayesian Analyzer of Event Sequences. In: Prat, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46992-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-46992-3_20

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0953-4

  • Online ISBN: 978-3-642-46992-3

  • eBook Packages: Springer Book Archive

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