메뉴 건너뛰기




Volumn 38, Issue 12, 2011, Pages 2955-2970

Some applications of nonlinear and non-Gaussian state-space modelling by means of hidden Markov models

Author keywords

binary data; count data; numerical integration; pseudo residuals; stochastic volatility; time series; Viterbi algorithm

Indexed keywords


EID: 84858253075     PISSN: 02664763     EISSN: 13600532     Source Type: Journal    
DOI: 10.1080/02664763.2011.573543     Document Type: Article
Times cited : (32)

References (29)
  • 1
    • 0037471378 scopus 로고    scopus 로고
    • Likelihood-based inference for asymmetric stochastic volatility models
    • Bartolucci, F. and De Luca, G. 2003. Likelihood-based inference for asymmetric stochastic volatility models. Comput. Statist. Data Anal., 42(3): 445-449.
    • (2003) Comput. Statist. Data Anal , vol.42 , Issue.3 , pp. 445-449
    • Bartolucci, F.1    de Luca, G.2
  • 2
    • 10244229626 scopus 로고    scopus 로고
    • Estimation methods for stochastic volatility models: A survey
    • Broto, C. and Ruiz, E. 2004. Estimation methods for stochastic volatility models: a survey. J. Econom. Surveys, 18(5): 613-649.
    • (2004) J. Econom. Surveys , vol.18 , Issue.5 , pp. 613-649
    • Broto, C.1    Ruiz, E.2
  • 4
    • 84950445183 scopus 로고
    • A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling
    • Carlin, B. P., Polson, N. G. and Stoffer, D. S. 1992. A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling. J. Amer. Statist. Assoc., 87(418): 439-500.
    • (1992) J. Amer. Statist. Assoc , vol.87 , Issue.418 , pp. 439-500
    • Carlin, B.P.1    Polson, N.G.2    Stoffer, D.S.3
  • 5
    • 21844487061 scopus 로고
    • Monte Carlo EM Estimation for Time Series Models Involving Counts
    • Chan, K. S. and Ledolter, J. 1995. Monte Carlo EM Estimation for Time Series Models Involving Counts. J. Amer. Statist. Assoc., 90(429): 242-252.
    • (1995) J. Amer. Statist. Assoc , vol.90 , Issue.429 , pp. 242-252
    • Chan, K.S.1    Ledolter, J.2
  • 6
    • 0011716069 scopus 로고    scopus 로고
    • Markov chain Monte Carlo methods for stochastic volatility models
    • Chib, S., Nardari, F. and Shephard, N. 2002. Markov chain Monte Carlo methods for stochastic volatility models. J. Econometrics, 108(2): 281-316.
    • (2002) J. Econometrics , vol.108 , Issue.2 , pp. 281-316
    • Chib, S.1    Nardari, F.2    Shephard, N.3
  • 7
    • 20444434024 scopus 로고    scopus 로고
    • Estimation for state-space models based on a likelihood approximation
    • Davis, R. and Rodriguez-Yam, G. 2005. Estimation for state-space models based on a likelihood approximation. Statist. Sinica, 15(2): 381-406.
    • (2005) Statist. Sinica , vol.15 , Issue.2 , pp. 381-406
    • Davis, R.1    Rodriguez-Yam, G.2
  • 8
    • 0000094018 scopus 로고    scopus 로고
    • Monte Carlo maximum likelihood estimation for non-Gaussian state space models
    • Durbin, J. and Koopman, S. J. 1997. Monte Carlo maximum likelihood estimation for non-Gaussian state space models. Biometrika, 84(3): 669-684.
    • (1997) Biometrika , vol.84 , Issue.3 , pp. 669-684
    • Durbin, J.1    Koopman, S.J.2
  • 12
    • 0032347339 scopus 로고    scopus 로고
    • A maximum likelihood approach for non-Gaussian stochastic volatility models
    • Fridman, M. and Harris, L. 1998. A maximum likelihood approach for non-Gaussian stochastic volatility models. J. Business Econom. Statist., 16(3): 284-291.
    • (1998) J. Business Econom. Statist , vol.16 , Issue.3 , pp. 284-291
    • Fridman, M.1    Harris, L.2
  • 14
    • 21244437999 scopus 로고    scopus 로고
    • Unscented filtering and nonlinear estimation
    • Julier, S. J. and Uhlmann, J. K. 2004. Unscented filtering and nonlinear estimation. Proc. IEEE, 92(3): 401-422.
    • (2004) Proc. IEEE , vol.92 , Issue.3 , pp. 401-422
    • Julier, S.J.1    Uhlmann, J.K.2
  • 15
    • 84950459387 scopus 로고
    • Non-Gaussian state-space modeling of nonstationary time series (with discussion)
    • Kitagawa, G. 1987. Non-Gaussian state-space modeling of nonstationary time series (with discussion). J. Amer. Statist. Assoc., 82(400): 1032-1063.
    • (1987) J. Amer. Statist. Assoc , vol.82 , Issue.400 , pp. 1032-1063
    • Kitagawa, G.1
  • 16
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa, G. 1996. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. J. Comput. Graph. Statist., 5(1): 1-25.
    • (1996) J. Comput. Graph. Statist , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 17
    • 0001729490 scopus 로고    scopus 로고
    • Statistical algorithms for models in state space using SsfPack 2.2
    • Koopman, S. J., Shephard, N. and Doornik, J. 1999. Statistical algorithms for models in state space using SsfPack 2.2. Econometrics J., 2(1): 113-166.
    • (1999) Econometrics J , vol.2 , Issue.1 , pp. 113-166
    • Koopman, S.J.1    Shephard, N.2    Doornik, J.3
  • 18
    • 77958026872 scopus 로고    scopus 로고
    • Hidden Markov models with arbitrary dwell-time distributions
    • Langrock, R. and Zucchini, W. 2011. Hidden Markov models with arbitrary dwell-time distributions. Comput. Statist. Data Anal., 55(1): 715-724.
    • (2011) Comput. Statist. Data Anal , vol.55 , Issue.1 , pp. 715-724
    • Langrock, R.1    Zucchini, W.2
  • 19
    • 0033619993 scopus 로고    scopus 로고
    • Monitoring epidemiologic surveillance data using hidden Markov models
    • Le Strat, Y. and Carrat, F. 1999. Monitoring epidemiologic surveillance data using hidden Markov models. Statist. Med., 18(24): 3463-3478.
    • (1999) Statist. Med , vol.18 , Issue.24 , pp. 3463-3478
    • Le Strat, Y.1    Carrat, F.2
  • 20
    • 0005618944 scopus 로고
    • Pricing foreign currency options with stochastic volatility
    • Melino, A. and Turnbull, S. M. 1990. Pricing foreign currency options with stochastic volatility. J. Econometrics, 45(1-2): 239-265.
    • (1990) J. Econometrics , vol.45 , Issue.1-2 , pp. 239-265
    • Melino, A.1    Turnbull, S.M.2
  • 21
    • 0000301907 scopus 로고
    • Remarks on a multivariate transformation
    • Rosenblatt, M. 1952. Remarks on a multivariate transformation. Ann. Math. Statist., 23(3): 470-472.
    • (1952) Ann. Math. Statist , vol.23 , Issue.3 , pp. 470-472
    • Rosenblatt, M.1
  • 22
    • 46149122067 scopus 로고    scopus 로고
    • Identifying multiple outliers in heavy-tailed distributions with an application to market crashes
    • Schluter, C. and Trede, M. 2008. Identifying multiple outliers in heavy-tailed distributions with an application to market crashes. J. Empirical Finance, 15(4): 700-713.
    • (2008) J. Empirical Finance , vol.15 , Issue.4 , pp. 700-713
    • Schluter, C.1    Trede, M.2
  • 23
    • 0001790102 scopus 로고    scopus 로고
    • Statistical aspects of ARCH and stochastic volatility
    • In: Cox D. R., Hinkley D. V., Barndorff-Nielsen O. E., editors London: Chapman & Hall
    • Shephard, N. 1996. "Statistical aspects of ARCH and stochastic volatility". In Time Series Models: In econometrics, finance and other fields, Edited by: Cox, D. R., Hinkley, D. V. and Barndorff-Nielsen, O. E. 1-67. London: Chapman & Hall.
    • (1996) Time Series Models: In econometrics, finance and other fields , pp. 1-67
    • Shephard, N.1
  • 25
    • 0035698908 scopus 로고    scopus 로고
    • Stochastic generation of annual, monthly and daily climate data: A review
    • Srikanthan, R. and McMahon, T. A. 2001. Stochastic generation of annual, monthly and daily climate data: A review. Hydrol. Earth System Sci., 5(4): 653-670.
    • (2001) Hydrol. Earth System Sci , vol.5 , Issue.4 , pp. 653-670
    • Srikanthan, R.1    McMahon, T.A.2
  • 26
    • 79955750805 scopus 로고
    • An Introduction to the Kalman filter
    • UNC-CH Computer Science Technical Report 95-041
    • Welch, G. and Bishop, G. 1995. "An Introduction to the Kalman filter". UNC-CH Computer Science Technical Report 95-041
    • (1995)
    • Welch, G.1    Bishop, G.2
  • 27
    • 0002891227 scopus 로고
    • Modeling daily precipitation - Progress and problems
    • In: Walden A. T., Guttorp P., editors New York: Edward Arnold, John Wiley
    • Woolhiser, D. A. 1992. "Modeling daily precipitation - Progress and problems". In Statistics in the Environmental and Earth Sciences, Edited by: Walden, A. T. and Guttorp, P. 71-89. New York: Edward Arnold, John Wiley.
    • (1992) Statistics in the Environmental and Earth Sciences , pp. 71-89
    • Woolhiser, D.A.1
  • 28
    • 0013136164 scopus 로고
    • A regression model for time series of counts
    • Zeger, S. L. 1988. A regression model for time series of counts. Biometrika, 75(4): 621-629.
    • (1988) Biometrika , vol.75 , Issue.4 , pp. 621-629
    • Zeger, S.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.