skip to primary navigationskip to content

Centre for Financial Research - Statistics Seminar

When Jun 03, 2011
from 04:00 PM to 05:00 PM
Where MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
Contact Name
Add event to calendar vCal

Tatyana Krivobokova (Goettingen)

Title: Smoothing parameter selection for spline estimators

In contrast to other nonparameteric regression techniques, smoothing parameter selection for spline estimators can be performed not only by employing criteria that approximate the average mean squared error (e.g. generalized cross validation), but also by making use of the maximum likelihood (or empirical Bayes) paradigm. In the later case, the function to be estimated is assumed to be a realization of some stochastic process, rather than from a certain class of smooth functions. Under this assumption both smoothing parameter selectors for spline estimators are well-studied and known to perform similar. A more interesting problem is the properties of smoothing parameter estimators in the frequentist framework, that is if the underlying function is non-random. In this talk we discuss the asymptotic properties of both smoothing parameter selection criteria for general low-rank spline smoothers in the frequentist framework and give also insights into their small sample performance.

« October 2017 »

RSS Feed Latest news

Best Student paper Award winners were announced on 16 June 2017

Jun 16, 2017

Winners of the 2016-2017 academic year competition were announced at the End of Term staff and student lunch, Cambridge Judge Business School

View all news

Upcoming events

Cambridge Finance Workshop - Matthew Elliott

Oct 26, 2017

Room W4.03, Cambridge Judge Business School

Cambridge Finance Workshop - Ilona Babenko

Nov 09, 2017

Room W2.01 Cambridge Judge Business School

Cambridge Finance Workshop - Michael Brennan

Nov 23, 2017

Room W4.03, Cambridge Judge Business School

Previous events

Upcoming events