Title: New developments on Inverse Problems and Statistics
Organizer(s): Jianhua Huang, Texas A&M University
Speakers: Jiguo Cao, Simon Fraser University
Parameter Cascading Estimation for Dynamic Models

Yanyuan Ma, Texas A&M University
An Semiparametric Approach to Dimension Reduction

Siva Tian, University of Houston
A Two-way Regularization Method for MEG Source Reconstruction

Lan Zhou, Yale University
Modeling Spatially Correlated Hierarchical Functional Data

Abstract: Many statistical problems are inverse problems in natural. This session will showcase some recent development on statistical inverse problems, including parameter estimation of differential equations, semiparametric dimension reduction techniques, reconstruction of neural activities using MEG, and modeling of spatially correlated functional data.

Please address administrative questions to Scientific questions should be addressed to the chair of the Scientific Program Committee: rundell AT

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