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Statistica Sinica 4(1994), 297-304


PENALIZED LIKELIHOOD REGRESSION:

A SIMPLE ASYMPTOTIC ANALYSIS


Chong Gu and Chunfu Qiu


Purdue University and University of Illinois


Abstract: We conduct a simple asymptotic analysis of penalized likelihood regression for the analysis of data from exponential families. The convergence rates in terms of the integrated symmetrized Kullback-Leibler distance and a related mean square error are obtained.



Key words and phrases: Penalized likelihood, rate of convergence, smoothness, symmetrized Kullback-Leibler distance.



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