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Volumn 13, Issue 2, 2004, Pages 435-455

Variable length Markov chains: Methodology, computing, and software

Author keywords

AIC; Bootstrap; Categorical time series; Classification; Comprehensive R archive network; Context algorithm; Diagnostics; DNA sequence; Simulation

Indexed keywords


EID: 3042630661     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/1061860043524     Document Type: Article
Times cited : (56)

References (14)
  • 2
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  • 3
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    • Sieve bootstrap with variable length markov chains for stationary categorical time series
    • _ (2002), "Sieve Bootstrap With Variable Length Markov Chains for Stationary Categorical Time Series" (with discussion) Journal of the American Statistical Association, 97, 443-471.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 443-471
  • 6
    • 0041861350 scopus 로고    scopus 로고
    • Estimation of general stationary processes by variable length markov chains
    • Ferrari, F., and Wyner, A. J. (2003), "Estimation of General Stationary Processes by Variable Length Markov Chains," Scandinavian Journal of Statistics, 30, 459-480.
    • (2003) Scandinavian Journal of Statistics , vol.30 , pp. 459-480
    • Ferrari, F.1    Wyner, A.J.2
  • 7
    • 34147148981 scopus 로고    scopus 로고
    • Boosting additive logistic regression: A statistical view of boosting
    • Rejoinder
    • Friedman, J. H., Hastie, T., and Tibshirani, R. (2000), "Boosting Additive Logistic Regression: A Statistical View of Boosting," The Annals of Statistics, 28, 400-407; Rejoinder.
    • (2000) The Annals of Statistics , vol.28 , pp. 400-407
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 8
    • 0011904676 scopus 로고    scopus 로고
    • Subsampling and model selection in time series analysis
    • Fukuchi, J.-I. (1999), "Subsampling and Model Selection in Time Series Analysis," Biometrika, 86, 591-604.
    • (1999) Biometrika , vol.86 , pp. 591-604
    • Fukuchi, J.-I.1
  • 9
    • 0000181737 scopus 로고
    • The jackknife and the bootstrap for general stationary observations
    • Künsch, H. R. (1989), "The Jackknife and the Bootstrap for General Stationary Observations," The Annals of Statistics, 17, 1217-1241.
    • (1989) The Annals of Statistics , vol.17 , pp. 1217-1241
    • Künsch, H.R.1
  • 11
    • 0030282113 scopus 로고    scopus 로고
    • The power of amnesia: Learning probabilistic automata with variable memory length
    • Ron, D., Singer, Y., and Tishby, N. (1996), "The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length," Machine Learning, 25, 117-150.
    • (1996) Machine Learning , vol.25 , pp. 117-150
    • Ron, D.1    Singer, Y.2    Tishby, N.3
  • 12
    • 0031480481 scopus 로고    scopus 로고
    • Bootstrap estimate of kullback-leibler information for model selection
    • Shibata, R. (1997), "Bootstrap Estimate of Kullback-Leibler Information for Model Selection," Statistica Sinica, 1, 375-394.
    • (1997) Statistica Sinica , vol.1 , pp. 375-394
    • Shibata, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.