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Fast particle smoothing: If i had a million particles

Abstract:
We propose efficient particle smoothing methods for generalized state-spaces models. Particle smoothing is an expensive O(N2) algorithm, where N is the number of particles. We overcome this problem by integrating dual tree recursions and fast multipole techniques with forward-backward smoothers, a new generalized two-filter smoother and a maximum a posteriori (MAP) smoother. Our experiments show that these improvements can substantially increase the practicality of particle smoothing.

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Publisher copy:
10.1145/1143844.1143905

Authors



Host title:
ACM International Conference Proceeding Series
Volume:
148
Pages:
481-488
Publication date:
2006-01-01
DOI:
ISBN-10:
1595933832
ISBN-13:
9781595933836


Pubs id:
pubs:172717
UUID:
uuid:54534f44-f865-4384-be59-f0b5fd73e610
Local pid:
pubs:172717
Source identifiers:
172717
Deposit date:
2012-12-19

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