The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother
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DOI: 10.1007/BF00773470
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Cited by:
- Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013.
"Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
- Jason Ng & Catherine S. Forbes & Gael M. Martin & Brendan P.M. McCabe, 2011. "Non-Parametric Estimation of Forecast Distributions in Non-Gaussian, Non-linear State Space Models," Monash Econometrics and Business Statistics Working Papers 11/11, Monash University, Department of Econometrics and Business Statistics.
- Tatsuma Wada & Pierre Perron, 2006. "State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2006-029, Boston University - Department of Economics.
- Tatsuma Wada & Pierre Perron, 2005.
"An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data,"
Boston University - Department of Economics - Working Papers Series
WP2005-43, Boston University - Department of Economics.
- Tatsuma Wada & Pierre Perron, 2005. "An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data," Boston University - Department of Economics - Working Papers Series WP2005-44, Boston University - Department of Economics.
- Bernardi Mauro & Della Corte Giuseppe & Proietti Tommaso, 2011. "Extracting the Cyclical Component in Hours Worked," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-28, May.
- Perron, Pierre & Wada, Tatsuma, 2016.
"Measuring business cycles with structural breaks and outliers: Applications to international data,"
Research in Economics, Elsevier, vol. 70(2), pages 281-303.
- Tatsuma Wada & Pierre Perron, 2014. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series 2014-004, Boston University - Department of Economics.
- Pierre Perron & Tatsuma Wada, 2015. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series wp2015-016, Boston University - Department of Economics.
- Genshiro Kitagawa, 2014. "Computational aspects of sequential Monte Carlo filter and smoother," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(3), pages 443-471, June.
- Angel L. Cedeño & Rodrigo A. González & Boris I. Godoy & Rodrigo Carvajal & Juan C. Agüero, 2023. "On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data," Mathematics, MDPI, vol. 11(6), pages 1-25, March.
- Yao, Juan & Alles, Lakshman, 2006. "Industry return predictability, timing and profitability," Journal of Multinational Financial Management, Elsevier, vol. 16(2), pages 122-141, April.
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Keywords
Non-Gaussian smoother; non-Gaussian filter; Gaussian mixture; nonstationary time series; outliers; seasonal adjustment;All these keywords.
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