Kalman Filter Model with Qualitative Dependent Variables
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Cited by:
- Du, Rex Yuxing & Kamakura, Wagner A., 2015. "Improving the statistical performance of tracking studies based on repeated cross-sections with primary dynamic factor analysis," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 94-112.
- Tanizaki, Hisashi, 1997. "Nonlinear and nonnormal filters using Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 417-439, September.
- Alvaro Montenegro, 2005. "Introducción al filtro Kalman," Documentos de Economía 2920, Universidad Javeriana - Bogotá.
- Naik, P. & Piersma, N., 2002. "Understanding the role of marketing communications in direct marketing," Econometric Institute Research Papers EI 2002-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Fukasawa, T. & Basawa, I. V., 2002. "Estimation for a class of generalized state-space time series models," Statistics & Probability Letters, Elsevier, vol. 60(4), pages 459-473, December.
- Chung‐Hua Shen & David R. Hakes & Kenneth Brown, 1999. "Time‐Varying Response of Monetary Policy to Macroeconomic Conditions," Southern Economic Journal, John Wiley & Sons, vol. 65(3), pages 584-593, January.
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