Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA Lecture Complete Solution to the Most General Nonlinear Filtering Problems - Yau-Yau algorithm
Complete Solution to the Most General Nonlinear Filtering Problems - Yau-Yau algorithm
Speaker
Jia Yi Kang
Time
Friday, May 24, 2024 10:00 AM - 11:30 AM
Venue
Shuangqing-B806
Online
Zoom 242 742 6089 (BIMSA)
Abstract
The famous filtering problem of estimating the state of a stochastic dynamical system from noisy observations is of central importance in engineering. This problem can be reduced to solving the Duncan-Mortensen-Zakai (DMZ) equation, which is satisfied by the unnormalized conditional density of the state given the observation history. For general nonlinear filtering problems, solving the DMZ equation can be further reduced to solving a Kolmogorov forward equation offline, and this approach is known as the Yau-Yau algorithm. This mathematically solves the nearly 50-year-old problem of nonlinear filtering under mild conditions.
Beijing Institute of Mathematical Sciences and Applications
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