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Title: Applications of regime-switching models based on aggregation operators (English)
Author: Komorník, Jozef
Author: Komorníková, Magda
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 43
Issue: 4
Year: 2007
Pages: 431-442
Summary lang: English
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Category: math
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Summary: A synthesis of recent development of regime-switching models based on aggregation operators is presented. It comprises procedures for model specification and identification, parameter estimation and model adequacy testing. Constructions of models for real life data from hydrology and finance are presented. (English)
Keyword: time series
Keyword: regime-switching model
Keyword: aggregation operator
Keyword: model adequacy testing
MSC: 37M10
MSC: 37N10
MSC: 37N40
MSC: 62M07
MSC: 68T37
MSC: 93B30
MSC: 93E12
idZBL: Zbl 1137.37333
idMR: MR2377921
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Date available: 2009-09-24T20:25:13Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/135785
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Reference: [1] Bacigál T.: Multivariate threshold autoregressive models in Geodesy.J. Electrical Engineering 55 (2004), 12/s, 91–94 Zbl 1071.37519
Reference: [2] Bacon D. W., Watts D. G.: Estimating the transition between two intersecting lines.Biometrica 58 (1971), 525–534
Reference: [3] Bognár T.: Time Series Analysis Applied in Geodesy and Geodynamics.Ph.D. Thesis, Bratislava 2005
Reference: [4] Bognár T., Komorník, J., Komorníková M.: New STAR models of time series and their application in finance.In: Proc. 16th Symposium COMPSTAT 2004, Prague 2004 (J. Antoch, ed.), Physica-Verlag, Heidelberg 2004, pp. 713–720 MR 2173066
Reference: [5] Brown B. Y., Mariano R. S.: Predictors in dynamic nonlinear models: large sample behaviour.Econometric Theory 5 (1989), 430–452 MR 1029884
Reference: [6] Calvo T., Mesiar, R., (eds.) G. Mayor: Aggregation Operators (Studies in Fuzziness and Soft Computing 31).Physica–Verlag, Heidelberg 2002 MR 1936383
Reference: [7] Diebold F. X., Mariano R. S.: Comparing predictive accuracy.J. Business and Economic Statistics 13 (1995), 253–263
Reference: [8] Franses P. H., Dijk D.: Non-linear Time Series Models in Empirical Finance.Cambridge University Press, Cambridge 2000
Reference: [9] Hansen B. E.: Inference in TAR models.Studies in Nonlinear Dynamic and Econometrics 2 (1997), 1–14 Zbl 1078.91558, MR 1467458
Reference: [10] Hansen B. E.: Sample splitting and threshold estimation.Econometrica 68 (2000), 3, 575–603 Zbl 1056.62528, MR 1769379
Reference: [11] Komorníková M., Komorník J.: Application of aggregation operators in regime-switching models for exchange rates.In: Proc. EUSFLAT-LFA 2005, Barcelona 2005, pp. 1297–1300
Reference: [12] Komorník J., Komorníková, M., Szökeová D.: Testing the adequacy of regime-switching time series models nased on aggregation pperators.Submitted
Reference: [14] Teräsvirta T.: Specification, estimation, and evaluation of smooth transition models.J. Amer. Statist. Assoc. 89 (1994), 208–218
Reference: [15] Tong H.: On a threshold model.In: Pattern Recognition and Signal Processing (C. H. Chen, ed.), Amsterdam 1978, pp. 101–141
Reference: [16] Tong H.: Non-linear Time Series: A Dynamical Systems Approach.Oxford University Press, Oxford 1990
Reference: [17] Tsay R. S.: Testing and modeling multivariate threshold models.J. Amer. Statist. Assoc. 93 (1998), 1188–1202 Zbl 1063.62578, MR 1649212
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