Abstract #301805

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JSM 2003 Abstract #301805
Activity Number: 236
Type: Topic Contributed
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #301805
Title: Practical Filtering
Author(s): Nicholas G. Polson*+ and Jonathan Reuben Stroud and Peter Mueller
Companies: University of Chicago Graduate School of Business and University of Pennsylvania and University of Texas M.D. Anderson Cancer Center
Address: 1101 E 58th St., Chicago, IL, 60637-1561,
Keywords: volatility ; MCMC ; Bayes ; learning ; Lorenz ; filtering
Abstract:

We develop a general simulation-based appraoch to filtering and sequential parameter learning. We express the filtering distribution as a mixture of lag-smoothing distributions and implement this sequentially. Our approasch allows for sequential parameter learning where sequential importance sampling approaches have difficulties. We illusrate our methodology with an application to stochastic volaitlity and stochastic Lorenz models.


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