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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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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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Parameterisation and efficient MCMC estimation of non-Gaussian state space models
Strickland, Chris; Martin, Gael M.; Forbes, Catherine … - 2006
Persistent link: https://www.econbiz.de/10003433826
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Probabilistic forecasts of volatility and its risk premia
Maneesoonthorn, Worapree; Martin, Gael M.; Forbes, … - 2010
Persistent link: https://www.econbiz.de/10009009831
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Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree; Forbes, Catherine Scipione; … - 2013
Persistent link: https://www.econbiz.de/10010245443
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Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree; Forbes, Catherine Scipione; … - 2014
Persistent link: https://www.econbiz.de/10011781063
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Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree; Forbes, Catherine Scipione; … - 2016 - Revised 14, 30
Persistent link: https://www.econbiz.de/10011781663
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A view of damped trend as incorporating a tracking signal into a state space model
Snyder, Ralph D. (contributor); Koehler, Anne B. (contributor) - 2008
Persistent link: https://www.econbiz.de/10003778339
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An assessment of alternative state space models for count time series
Snyder, Ralph D.; Martin, Gael M.; Gould, Phillip; … - 2007
Persistent link: https://www.econbiz.de/10003486451
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The vector innovation structural time series framework : a simple approach to multivariate forecasting
De Silva, Ashton; Hyndman, Rob J.; Snyder, Ralph D. - 2007
Persistent link: https://www.econbiz.de/10003486454