메뉴 건너뛰기




Volumn 54, Issue 3, 2012, Pages 261-279

Flexible latent-state modelling of Old Faithful's eruption inter-arrival times in 2009

Author keywords

Hidden Markov model; Hidden semi Markov model; Markov chain; Mixture transition distribution; Time series

Indexed keywords


EID: 84871658028     PISSN: 13691473     EISSN: 1467842X     Source Type: Journal    
DOI: 10.1111/j.1467-842X.2012.00669.x     Document Type: Article
Times cited : (14)

References (30)
  • 1
    • 23244447194 scopus 로고    scopus 로고
    • Application of hidden Markov models to multiple sclerosis lesion count data
    • Altman, R.M. & Petkau, J.A. (2005). Application of hidden Markov models to multiple sclerosis lesion count data. Stat. Med. 24, 2335-2344.
    • (2005) Stat. Med. , vol.24 , pp. 2335-2344
    • Altman, R.M.1    Petkau, J.A.2
  • 2
    • 71249162959 scopus 로고    scopus 로고
    • Distributions associated with general runs and patterns in hidden Markov models
    • Aston, J.A.D. & Martin, D.E.K. (2007). Distributions associated with general runs and patterns in hidden Markov models. Ann. Appl. Stat. 1, 585-611.
    • (2007) Ann. Appl. Stat. , vol.1 , pp. 585-611
    • Aston, J.A.D.1    Martin, D.E.K.2
  • 4
    • 0041419360 scopus 로고    scopus 로고
    • The mixture transition distribution model for high-order markov chains and non-Gaussian time series
    • Berchtold, A. & Raftery, A.E. (2002). The mixture transition distribution model for high-order markov chains and non-Gaussian time series. Statist. Sci. 17, 328-356.
    • (2002) Statist. Sci. , vol.17 , pp. 328-356
    • Berchtold, A.1    Raftery, A.E.2
  • 5
    • 38149134401 scopus 로고    scopus 로고
    • Computational issues in parameter estimation for stationary hidden Markov models
    • Bulla, J. & Berzel, A. (2008). Computational issues in parameter estimation for stationary hidden Markov models. Comput. Statist. 23, 1-18.
    • (2008) Comput. Statist. , vol.23 , pp. 1-18
    • Bulla, J.1    Berzel, A.2
  • 6
    • 70549114486 scopus 로고    scopus 로고
    • An R package for analyzing hidden semi-Markov models
    • Bulla, J., Bulla, I. & Nenadić, O. (2009). An R package for analyzing hidden semi-Markov models. Comput. Stat. Data Anal. 54, 611-619.
    • (2009) Comput. Stat. Data Anal. , vol.54 , pp. 611-619
    • Bulla, J.1    Bulla, I.2    Nenadić, O.3
  • 9
    • 0141907306 scopus 로고    scopus 로고
    • Estimating hidden semi-Markov chains from discrete sequences
    • Guédon, Y. (2003). Estimating hidden semi-Markov chains from discrete sequences. J. Comput. Graph. Statist., 12, 604-639.
    • (2003) J. Comput. Graph. Statist. , vol.12 , pp. 604-639
    • Guédon, Y.1
  • 10
    • 18744405362 scopus 로고    scopus 로고
    • Hidden hybrid Markov/semi-Markov chains
    • Guédon, Y. (2005). Hidden hybrid Markov/semi-Markov chains. Comput. Stat. Data Anal. 49, 663-688.
    • (2005) Comput. Stat. Data Anal. , vol.49 , pp. 663-688
    • Guédon, Y.1
  • 11
    • 46149096711 scopus 로고    scopus 로고
    • Climate-induced variations of geyser periodicity in Yellowstone National Park, USA
    • Hurwitz, S., Kumar, A., Taylor, R. & Heasler, H. (2008). Climate-induced variations of geyser periodicity in Yellowstone National Park, USA. Geology 36, 451-454.
    • (2008) Geology , vol.36 , pp. 451-454
    • Hurwitz, S.1    Kumar, A.2    Taylor, R.3    Heasler, H.4
  • 12
    • 84455169620 scopus 로고    scopus 로고
    • Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models
    • Langrock, R., Macdonald, I.L. & Zucchini, W. (2012). Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models. J. Emp. Finan. 19, 147-161.
    • (2012) J. Emp. Finan. , vol.19 , pp. 147-161
    • Langrock, R.1    Macdonald, I.L.2    Zucchini, W.3
  • 13
    • 77958026872 scopus 로고    scopus 로고
    • Hidden Markov models with arbitrary dwell-time distributions
    • Langrock, R. & Zucchini, W. (2011). Hidden Markov models with arbitrary dwell-time distributions. Comput. Stat. Data Anal. 55, 715-724.
    • (2011) Comput. Stat. Data Anal. , vol.55 , pp. 715-724
    • Langrock, R.1    Zucchini, W.2
  • 14
    • 0002297105 scopus 로고
    • Conditional logit analysis of qualitative choice behavior
    • ed. P. Zarembka -. New York: Academic Press.
    • Mcfadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In Frontiers in Econometrics, ed. P. Zarembka, pp. 105-142. New York: Academic Press.
    • (1974) Frontiers in Econometrics , pp. 105-142
    • Mcfadden, D.1
  • 15
    • 0031651793 scopus 로고    scopus 로고
    • Efficient training of high-order hidden Markov models using first-order representations
    • Du Preez, J.A. (1998). Efficient training of high-order hidden Markov models using first-order representations. Comput. Speech & Lang. 12, 23-39.
    • (1998) Comput. Speech & Lang. , vol.12 , pp. 23-39
    • Du Preez, J.A.1
  • 16
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L.R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. IEEE Proc. 77, 257-286.
    • (1989) IEEE Proc. , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 17
    • 0000029820 scopus 로고
    • A Model for High-Order Markov Chains
    • Raftery, A.E. (1985a). A Model for High-Order Markov Chains. J. R. Stat. Soc. Ser. B 47, 528-539.
    • (1985) J. R. Stat. Soc. Ser. B , vol.47 , pp. 528-539
    • Raftery, A.E.1
  • 18
    • 0040236929 scopus 로고
    • A new model for discrete-valued time series: autocorrelations and extensions
    • Raftery, A.E. (1985b). A new model for discrete-valued time series: autocorrelations and extensions. Rassegna di Metodi Statistici ed Applicazioni 3-4, 149-162.
    • (1985) Rassegna di Metodi Statistici ed Applicazioni , vol.3-4 , pp. 149-162
    • Raftery, A.E.1
  • 19
    • 0041724127 scopus 로고    scopus 로고
    • Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation
    • Robert, C.P. & Titterington, D.M. (1998). Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation. Stat. Comput. 8, 145-158.
    • (1998) Stat. Comput. , vol.8 , pp. 145-158
    • Robert, C.P.1    Titterington, D.M.2
  • 20
    • 1642431381 scopus 로고    scopus 로고
    • Fitting hidden semi-Markov models to breakpoint rainfall data
    • Sansom, J. & Thomson, P. (2001). Fitting hidden semi-Markov models to breakpoint rainfall data. J. Appl. Probab. 38A, 142-157.
    • (2001) J. Appl. Probab. , vol.38 A , pp. 142-157
    • Sansom, J.1    Thomson, P.2
  • 21
    • 84860893762 scopus 로고    scopus 로고
    • On the application of mixed hidden Markov models to multiple behavioural time series
    • doi:10.1098/rsfs.2011.0077.
    • Schliehe-diecks, S., Kappeler, P.M. & Langrock, R. (2012). On the application of mixed hidden Markov models to multiple behavioural time series. Interface Focus 2, 180-189. doi:10.1098/rsfs.2011.0077.
    • (2012) Interface Focus , vol.2 , pp. 180-189
    • Schliehe-diecks, S.1    Kappeler, P.M.2    Langrock, R.3
  • 22
    • 0000676356 scopus 로고    scopus 로고
    • Prior Distributions on Measure Space
    • Sibisi, S. & Skilling, J. (1997). Prior Distributions on Measure Space. J. R. Stat. Soc. Ser. B 59, 217-235.
    • (1997) J. R. Stat. Soc. Ser. B , vol.59 , pp. 217-235
    • Sibisi, S.1    Skilling, J.2
  • 24
    • 72949104907 scopus 로고    scopus 로고
    • Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes
    • Spezia, L. (2010). Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes. J. Time Series Analysis 31, 1-11.
    • (2010) J. Time Series Analysis , vol.31 , pp. 1-11
    • Spezia, L.1
  • 25
    • 0001431082 scopus 로고
    • Some recent research in the analysis of mixture distributions
    • Titterington, D.M. (1990). Some recent research in the analysis of mixture distributions. Statistics, 21, 619-641.
    • (1990) Statistics , vol.21 , pp. 619-641
    • Titterington, D.M.1
  • 26
    • 24144441738 scopus 로고    scopus 로고
    • A note on composite likelihood inference and model selection
    • Varin, C. & Vidoni, P. (2005). A note on composite likelihood inference and model selection. Biometrika 92, 519-528.
    • (2005) Biometrika , vol.92 , pp. 519-528
    • Varin, C.1    Vidoni, P.2
  • 28
  • 30
    • 49749123441 scopus 로고    scopus 로고
    • Modeling time series of animal behavior by means of a latent-state model with feedback
    • Zucchini, W., Raubenheimer, D. & Macdonald, I.L. (2008). Modeling time series of animal behavior by means of a latent-state model with feedback. Biometrics 64, 807-815.
    • (2008) Biometrics , vol.64 , pp. 807-815
    • Zucchini, W.1    Raubenheimer, D.2    Macdonald, I.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.