Title: Regression Splines: Applications and Fiducial Theory

Speaker: Derek Sonderegger, Colorado State University

Date/Time: Thursday, February 19, 2008 at 9:00 – 10:00am

Location: CSRI Building, Room 95 (Sandia NM)

Brief Abstract: Regression splines are a form of nonparametric function estimation is used in many areas of applied statistics.  The selection of knot point locations has not yet seen a satisfying theoretical conclusion, perhaps because penalized regression splines provides an acceptable workaround provided the knot locations are not of interest.  We first introduce regression splines and provide an ecological situation where the location of the knot point is of interest.  We then derive the fiducial solution to regression spline problem and examine simulation results of the method.  Finally, we examine the asymptotic normality of fiducial distribution.

CSRI POC: Suzanne Rountree, (505) 844-4379