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In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - 2016
Persistent link: https://www.econbiz.de/10011524318
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In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - 2016
Persistent link: https://www.econbiz.de/10011582617
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In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 3, pp. 313-338
Persistent link: https://www.econbiz.de/10011691438
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Rejoinder: In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 3, pp. 353-356
Persistent link: https://www.econbiz.de/10011691450
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Essays on the large dimensional approximate dynamic factor model
Schmid, Frank - 2009
Persistent link: https://www.econbiz.de/10013436419
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Inference in predictive regression models with persistent regressors
Hillmann, Benjamin - 2021
Persistent link: https://www.econbiz.de/10012663790
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Two-dimensional kernel smoothing of mortality surface : an evaluation of cohort strength
Li, Han; O'Hare, Colin; Vahid, Farshid - In: Journal of forecasting 35 (2016) 6, pp. 553-563
Persistent link: https://www.econbiz.de/10011595980
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Modeling hazard rates as functional data for the analysis of cohort lifetables and mortality forecasting
Chiou, Jeng-min; Müller, Hans-Georg - In: Journal of the American Statistical Association : JASA 104 (2009) 486, pp. 572-585
Persistent link: https://www.econbiz.de/10003885368
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Prediction of US cancer mortality counts using semiparametric Bayesian techniques
Ghosh, Kaushik; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 7-15
Persistent link: https://www.econbiz.de/10003430634
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Modelling mortality with common stochastic long-run trends
Arnold-Gaille, Séverine; Sherris, Michael - In: The Geneva papers on risk and insurance - issues and … 36 (2011) 4, pp. 595-621
Persistent link: https://www.econbiz.de/10009503506