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Volumn , Issue , 2001, Pages 341-346

Finding simple intensity descriptions from event sequence data

Author keywords

Event sequence; Intensity modeling; MCMC

Indexed keywords

ALGORITHMS; DYNAMIC PROGRAMMING; MARKOV PROCESSES; MONTE CARLO METHODS; POISSON DISTRIBUTION; PROBLEM SOLVING;

EID: 0035789281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502562     Document Type: Conference Paper
Times cited : (18)

References (11)
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  • 2
    • 0031526640 scopus 로고    scopus 로고
    • An algorithm for nonparametric bayesian estimation of a poisson intensity
    • E. Arjas and J. Heikkinen. An Algorithm for nonparametric Bayesian estimation of a Poisson intensity. Computational Statistics, 12:385-402, 1997.
    • (1997) Computational Statistics , vol.12 , pp. 385-402
    • Arjas, E.1    Heikkinen, J.2
  • 3
    • 0017147050 scopus 로고
    • Point estimation of parameters of piecewise regression models
    • D. Hawkins. Point estimation of parameters of piecewise regression models. Journal of The Royal Statistical Society Series C, 25(1):51-57, 1976.
    • (1976) Journal of The Royal Statistical Society Series C , vol.25 , Issue.1 , pp. 51-57
    • Hawkins, D.1
  • 4
    • 0013003950 scopus 로고    scopus 로고
    • Frailty factors and time-dependent hazards in modeling ear infections in children using Bassist
    • Bristol, June
    • M. Eerola, H. Mannila, and M. Salmenkivi. Frailty factors and time-dependent hazards in modeling ear infections in children using Bassist. In Proc. of XIII Symposium on Computational Statistics, pages 287-292, Bristol, June 1998.
    • (1998) Proc. of XIII Symposium on Computational Statistics , pp. 287-292
    • Eerola, M.1    Mannila, H.2    Salmenkivi, M.3
  • 5
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82(4):711-732, 1995.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.1
  • 8
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    • Markov chains for exploring posterior distributions
    • L. Tierney. Markov chains for exploring posterior distributions. Annals of Statistics, 22(4):1701-1728, 1994.
    • (1994) Annals of Statistics , vol.22 , Issue.4 , pp. 1701-1728
    • Tierney, L.1
  • 9
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    • Understanding the Metropolis-Hastings algorithm
    • S. Chib and E. Greenberg. Understanding the Metropolis-Hastings algorithm. The American Statistician, 49:327-335, 1995.
    • (1995) The American Statistician , vol.49 , pp. 327-335
    • Chib, S.1    Greenberg, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.