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Volumn 7, Issue 4, 2001, Pages 289-311

Dynamic local models for segmentation and prediction of financial time series

Author keywords

Time Series Segmentation Hidden Variational Techniques Bayesian Error Bars Markov Models State Space Models

Indexed keywords


EID: 39449127153     PISSN: 1351847X     EISSN: 14664364     Source Type: Journal    
DOI: 10.1080/13518470110071155     Document Type: Article
Times cited : (1)

References (23)
  • 2
    • 0024057021 scopus 로고
    • The interactive multiple model algorithm for systems with Markovian switching coefficients
    • Blom, H. A. P., and Bar-Shalom, Y., 1988. The interactive multiple model algorithm for systems with Markovian switching coefficients. IEEE Transaction on Automatic Control, 33 (8): 780–783.
    • (1988) IEEE Transaction on Automatic Control , vol.33 , Issue.8 , pp. 780-783
    • Blom, H.A.P.1    Bar-Shalom, Y.2
  • 3
    • 42449156579 scopus 로고
    • Generalized autoregressive conditional heteroskedasticity
    • Bollerslev, T., 1986. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31: 307–327.
    • (1986) Journal of Econometrics , vol.31 , pp. 307-327
    • Bollerslev, T.1
  • 4
    • 0001119510 scopus 로고
    • Cowan J.D., Tesauro G., Alspector J., (eds), San Francisco: Morgan Kaufmann, Advances Neural Information Processing System, and, Edited by
    • Cacciatore, T. W., and Nowlan, S. J., 1994. Mixtures of controllers for jump linear and nonlinear plants, Edited by: Cowan, J. D., Tesauro, G., and Alspector, J., Volume 6, 719–726. San Francisco: Morgan Kaufmann. Advances in Neural Information Processing System
    • (1994) Mixtures of controllers for jump linear and nonlinear plants , vol.6 , pp. 719-726
    • Cacciatore, T.W.1    Nowlan, S.J.2
  • 8
    • 85068271084 scopus 로고
    • Weigend A.S., Gershenfeld N.A., (eds), Addison-Wesley, Time Series Prediction: Forecasting the Future and Understanding the Past, and, Edited by
    • Fraser, A. M., and Dimitriadis, A., 1994. Forecasting probability densities by using hidden Markov models with mixed states, Edited by: Weigend, A. S., and Gershenfeld, N. A., 264–281. Addison-Wesley. Time Series Prediction: Forecasting the Future and Understanding the Past
    • (1994) Forecasting probability densities by using hidden Markov models with mixed states , pp. 264-281
    • Fraser, A.M.1    Dimitriadis, A.2
  • 9
    • 0005552604 scopus 로고    scopus 로고
    • Department of Computer Science, University of Toronto, Technical report
    • Ghahramani, Z., and Hinton, G. E., 1998. Switching state-space models, Department of Computer Science, University of Toronto. Technical report
    • (1998) Switching state-space models
    • Ghahramani, Z.1    Hinton, G.E.2
  • 10
    • 0027580559 scopus 로고    scopus 로고
    • Novel approach to nonlinear/nonGaussian Bayesian state estimation
    • Gordon, N. J., Salmon, D. J., and Smith, A. E. M., Novel approach to nonlinear/nonGaussian Bayesian state estimation. Proceedings of the IEEE. Vol. 140, pp. 107–113.
    • Proceedings of the IEEE , vol.140 , pp. 107-113
    • Gordon, N.J.1    Salmon, D.J.2    Smith, A.E.M.3
  • 11
    • 0001342006 scopus 로고
    • Anew approach to the economic analysis of non-stationary time series and the business cycle
    • Hamilton, J. D., 1989. Anew approach to the economic analysis of non-stationary time series and the business cycle. Econometrica, 57: 357–384.
    • (1989) Econometrica , vol.57 , pp. 357-384
    • Hamilton, J.D.1
  • 13
    • 0041003090 scopus 로고    scopus 로고
    • Tesauro G., Touretsky D.S., Leen T.K., (eds), Cambridge, MA: MIT Press, Advances Neural Information Processing Systems, and, Edited by
    • Kadirkamanathan, V., and Kadirkamanathan, M., 1996. Recursive estimation of dynamic modular RBF networks, Edited by: Tesauro, G., Touretsky, D. S., and Leen, T. K. Volume 8, 239–245. Cambridge, MA: MIT Press. Advances in Neural Information Processing Systems
    • (1996) Recursive estimation of dynamic modular RBF networks , vol.8 , pp. 239-245
    • Kadirkamanathan, V.1    Kadirkamanathan, M.2
  • 15
    • 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. Journal of Computational and Graphical Statistics, 5: 1–25.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 17
    • 84985742249 scopus 로고    scopus 로고
    • Linear predictive hidden Markov models and the speech signal
    • May
    • Poritz, A. B., Linear predictive hidden Markov models and the speech signal. Proceedings of ICASSP. May. pp. 1291–1294.
    • Proceedings of ICASSP , pp. 1291-1294
    • Poritz, A.B.1
  • 18
    • 85156241149 scopus 로고    scopus 로고
    • Exploiting tractabe substructures in intractable networks
    • Touretsky D.S., Mozer M.C., Hasslemo M.E., (eds), Cambridge, MA: MIT Press, and,. Edited by
    • Saul, L. K., and Jordan, M. I., 1996. “ Exploiting tractabe substructures in intractable networks ”. In Advances in Neural Information and Processing Systems, Edited by: Touretsky, D. S., Mozer, M. C., and Hasslemo, M. E. Volume 8, 486–492. Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information and Processing Systems , vol.8 , pp. 486-492
    • Saul, L.K.1    Jordan, M.I.2
  • 22
    • 85153928885 scopus 로고
    • Deterministic annealing va riant of the EM algorithm
    • Tesauro G., Touretsky D.S., Alspector J., (eds), Morgan Kaufmann, and,. Edited by
    • Ueda, N., and Nakano, R., 1995. “ Deterministic annealing va riant of the EM algorithm ”. In Advances in Neural Information Processing Systems, Edited by: Tesauro, G., Touretsky, D. S., and Alspector, J., Volume 7, 545–552. Morgan Kaufmann.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 545-552
    • Ueda, N.1    Nakano, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.