Graduate Student Seminar-A Deterministic-Statistical Approach for Moving Sources with Sparse Partial Data.

Date and Time: Friday, September 10th, 2-3pm

Place: Rome 206

Speaker: Yanfang Liu(visiting assisstant professor, GWU)

Title: A Deterministic-Statistical Approach for Moving Sources with Sparse Partial Data.

Abstract: In this talk, we present a two-step deterministic-statistical approach to recover the trajectories of moving sources using partial measured data. In the first step, an approximate direct sampling method is developed to obtain the locations of the sources at different times. Such information is coded in the priors, which is critical for the success of the Bayesian method in the second step. The well-posedness of the posterior measure is analyzed in the sense of the Hellinger distance. The combined approach inherits the merits of the deterministic method and Bayesian inversion as demonstrated by the numerical examples.