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APOLOGIES FOR CROSS POSTING.

****Please would you kindly circulate this to all academic staff, postgraduate research students and MSc students within your school or department****

INTRODUCTION TO MODERN SMOOTHING METHODS:  GAMLSS AND P-SPLINES IN ACTION

3 DAY MASTER CLASS AT THE POSTGRADUATE STATISTICS CENTRE, LANCASTER UNIVERSITY ON 30 NOVEMBER - 2 DECEMBER 2009

PRESENTED BY MIKIS STASINOPOULOS, PAUL EILERS AND ROBERT RIGBY.

This short course introduces two powerful ideas in modern statistical modelling, Generalized Additive Models for Location, Scale and Shape (GAMLSS) and the P-Splines approach to smoothing.  

GAMLSS were introduced by Rigby and Stasinopoulos (2005) as a way of overcoming some of the limitations associated with the popular Generalized Linear Models (GLM) and Generalized Additive Models (GAM).  This framework generalises methodologies such as fractional polynomials and the LMS method for constructing reference ranges and normalised growth centile standards. For centile estimation, the WHO Multicentre Growth Reference Study Group have recommended GAMLSS and the Box-Cox Power Exponential distributions for the construction of the WHO Child Growth Standards. GAMLSS is implemented in a series of R packages.  P-Splines (Eilers and Marx, 1996) is a flexible tool for smoothing, based on penalised regression techniques. Its simplicity and flexibility allows its use in a variety of different practical applications. 

This three day course will use the first day as an introduction to GAMLSS, the second day as an introduction to P-Splines and the third day for further applications and how the two approaches can be combined. Each lecture session will be followed by a practical session in R.


Cost:  Postgraduate Students - £90 / Academic Staff from HE Institutions - £180 / Participants from non-HE Institutions - £660

For booking registration and further details please go to:  http://psc.maths.lancs.ac.uk/shortCourses/?q=node/48


Deborah Stewart
Postgraduate Statistics Centre Secretary
Dept of Mathematics & Statistics
Lancaster University
Lancaster
LA1 4YF

Tel:  +44 (0)1524 593940
Fax: +44 (0)1524 592681
Email: [log in to unmask]
http://www.maths.lancs.ac.uk/psc