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Statistics Colloquium by Lily Wang
Friday, Mar 28
2 p.m. - 3 p.m. Location: FO 2.604

Lily Wang  

Department of Statistics  

University of Georgia  

Bivariate Penalized Splines for Regression  

In this work we are interested in smoothing data over complex irregular boundaries or interior holes. We propose bivariate penalized spline estimators over triangulations using energy functional as the penalty. We establish the consistency and asymptotic normality for the proposed estimators, and study the convergence rates of the estimators. A comparison with thin-plate splines is provided to illustrate some advantages of this spline smoothing approach. The proposed method can be easily applied to various smoothing problems over arbitrary domains, including irregularly shaped domains with irregularly scattered data points.    

Sponsored by the Department of Mathematical Sciences

Host:  Qiongxia Song

Refreshments will be served in Room TBD 30 minutes before the talk begins.

 

Contact Info:
John Zweck, 972-883-6699
Questions? Email me.

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