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Multivariate time-varying volatility modeling using Probabilistic Fuzzy Systems.

, , , and . SSCI, page 1-8. IEEE, (2016)

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TS-Models from Evidential Clustering., and . IPMU (1), volume 80 of Communications in Computer and Information Science, page 228-237. Springer, (2010)Intraday value-at-risk estimation for directional change events and investment strategies., , and . SSCI, page 1-8. IEEE, (2017)Estimation of flexible fuzzy GARCH models for conditional density estimation., , , and . Inf. Sci., (2014)Constructing Rule-Based Models Using the Belief Functions Framework., , and . IPMU (3), volume 299 of Communications in Computer and Information Science, page 554-563. Springer, (2012)Conditional Density Estimation Using Fuzzy GARCH Models., , , and . SMPS, volume 190 of Advances in Intelligent Systems and Computing, page 173-181. Springer, (2012)A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems., , , and . CIFEr, page 1-8. IEEE, (2012)Optimizing probabilistic fuzzy systems for classification using metaheuristics., , , , and . FUZZ-IEEE, page 1635-1641. IEEE, (2016)Conditional Density Estimation Using Probabilistic Fuzzy Systems., , and . IEEE Trans. Fuzzy Syst., 21 (5): 869-882 (2013)A New Feature Selection Criterion for Fuzzy Classification., , and . FUZZ-IEEE, page 437-444. IEEE, (2006)A fuzzy model of a European index based on automatically extracted content information., , , and . CIFEr, page 140-147. IEEE, (2011)