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Bayesian changepoint and time-varying parameter learning in regime switching volatility models.

, , , and . Digit. Signal Process., (2015)

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An Analysis of Support Vector Machines for Credit Risk Modeling., , and . DMBiz@PAKDD, volume 177 of Frontiers in Artificial Intelligence and Applications, page 25-33. IOS Press, (2007)A Neural Approach for SME's Credit Risk Analysis in Turkey., , and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 749-759. Springer, (2009)Bayesian changepoint and time-varying parameter learning in regime switching volatility models., , , and . Digit. Signal Process., (2015)Financial Time Series Prediction Using Mixture of Experts., , and . ISCIS, volume 2869 of Lecture Notes in Computer Science, page 553-560. Springer, (2003)Global, Recurrent and Smoothed-Piecewise Neural Models for Financial Time Series Prediction., , and . Artificial Intelligence and Applications, page 134-139. IASTED/ACTA Press, (2005)A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction., , and . Pattern Recognit. Lett., 26 (13): 2093-2103 (2005)