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Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models
Ng, Jason; Forbes, Catherine Scipione; Martin, Gael M.; … - In: International journal of forecasting 29 (2013) 3, pp. 411-430
Persistent link: https://www.econbiz.de/10009787038
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Data-driven particle filters for Particle Markov Chain Monte Carlo
Leung, Patrick; Forbes, Catherine Scipione; Martin, Gael M. - 2016
Persistent link: https://www.econbiz.de/10011781784
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Approximate Bayesian forecasting
Frazier, David T.; Maneesoonthorn, Worapree; Martin, Gael M. - 2018
Persistent link: https://www.econbiz.de/10012583287
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Approximate Bayesian forecasting
Frazier, David T.; Maneesoonthorn, Worapree; Martin, Gael M. - In: International journal of forecasting 35 (2019) 2, pp. 521-539
Persistent link: https://www.econbiz.de/10012300696
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Forecasting observables with particle filters : any filter will do!
Leung, Patrick; Forbes, Catherine Scipione; Martin, Gael M. - 2019
Persistent link: https://www.econbiz.de/10012606152
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Kolmogorov-Smirnov type testing for structural breaks : a new adjusted-range based self-normalization approach
Hong, Yongmiao; Linton, Oliver; McCabe, Brendan Peter Martin - In: Journal of econometrics 238 (2024) 2, pp. 1-19
Persistent link: https://www.econbiz.de/10015073901