Postgraduate Training Week ``Nonparametric Smoothing'' 10-14 May 2010

Schedule:

Sheet	Session	Solutions	Handout
Sheet 1	Mo, May 10, 2.45pm	Solutions 1	---
Sheet 2	Tue, May 11, 2.45pm	Solutions 2	Handout 1
Sheet 3	Wed, May 12, 1.15pm	---	Handout 2
Sheet 4	Thursday and Friday	---	---

Presenter	Affiliation	Title	Date	Time	Room	Material
Jochen Einbeck	Durham University	Main course				Slides
Prof. Roland Fried	University of Dortmund	Monitoring medical time series	11/05/2010	16:30	CM 101	Abstract (RSS talk)
Prof. Roland Fried	University of Dortmund	Robust non-parametric smoothing	12/05/2010	11:30	CM 221	Slides
David Wooff	Durham University	Functional Data Analysis - An Introduction	13/05/2010	11:30	CM 221	Slides
Amin Jamalzadeh	Durham University	Developing Effect Sizes for Non-Normal Data in Two-Sample Comparison Studies	12/05/2010	10:00	CG 83	Slides
Ben Powell	Durham University	Confidence Bands for Smoothers	12/05/2010	10:30	CG 83	Slides
Mohammad Zayed	Durham University	Local principal curves with application to econometric data	13/05/2010	10:45	CM 221	Slides

This course uses the freeware software packages R and BayesX .
Both software packages can be accessed in the Durham ITS network through Programs/Academic Software/Mathematical Sciences
One-off instructions to make Tinn-R workable
Code for the kernel median smoother .
Mortality of fetuses ( Data , Documentation) (for Sheet 3 and 4); Respiratory deaths (Data, Documentation) (used in Lecture).