Dear All
This is the final call for the shortcourse. We still have some
places available for the this Weds half-day shortcourse
on HGLM. If interested, please send your email to
[log in to unmask] to register. Thanks.
Jianxin Pan
-------------------------------------------------------
> A half-day short course at Manchester
> (14:00-17:00, Wed 10th May 2006)
>
> We are announcing a half-day short course on Hierarchical Generalized
> Linear Models (HGLM), which will take place in Manchester Institute for
> Mathematical Sciences (MIMS), School of Mathematics, The University of
> Manchester, on Wednesday 10th May 2006 (14:00-17:00). For more details,
> see
> http://www.maths.man.ac.uk/mims/events/courses/hglm.html
>
> Title: Hierarchical Generalized Linear Models
> Abstract:
> Hierarchical Generalized Linear Models (HGLMs) provide a flexible and
> efficient framework for modelling non-Normal data in situations when there
> may be several sources of error variation. They are defined by extending
> the familiar generalized linear models (GLMs) to include additional random
> terms in the linear predictor. They include generalized linear mixed
> models (GLMMs) as a special case, but do not constrain the additional
> terms to follow a Normal
> distribution and to have an identity link (as in the GLMM). For example,
> if the basic generalized linear model is a log-linear model (Poisson
> distribution and log link), a more appropriate assumption for the
> additional random terms might be a gamma distribution and a log link.
> HGLMs thus bring a wide range of
> models together within a single framework. Each HGLM is made up from two
> interlinked generalized linear models, so we have access to a familiar
> repertoire of model checking techniques to help determine the appropriate
> error distributions and models.
>
> This course will introduce the underlying theory and show examples of
> situations where HGLMs can be useful. It will use the GenStat procedures
> that have been written by Payne, Lee, Nelder & Noh to implement the
> methodology, and which will accompany the forthcoming book on HGLMs by
> Lee, Nelder & Pawitan (due in mid 2006).
>
> References:
> Lee, Y. & Nelder, J.A. (1996). Hierarchical generalized linear models
> (with discussion). J. R. Statist. Soc. B, 58, 619-678.
> Lee, Y. & Nelder, J.A. (2001). Hierarchical generalized linear models:
> a synthesis of generalised linear models, random-effect models and
> structured dispersions. Biometrika, 88, 987-1006.
> Lee, Y. & Nelder, J.A. (2006). Double hierarchical generalized linear
> models (with discussion). Appl. Statist., 55, 1-29.
>
> Lecturer: Prof Roger Payne (Rothamsted Research & VSN International)
> Prof R Payne worked at Rothamsted for 30 years and is now the Chief
> Science
> and Technology Officer at VSN International Ltd (a company part-owned by
> Rothamsted). He is the key developer of the GenStat system and has
> recently
> developed procedures in GenStat for HGLMs jointly with Profs John Nelder
> and Youngjo Lee.
>
> Time & Date: 14:00 - 17:00, Wed 10th May 2006
> Place: No C.18, Ferranti Building,
> Sackville Street Campus,
> University of Manchester
>
> Target Audiences and Registration:
> The course is FREE of charge. It is mainly for postgraduate students in
> Statistics or Applied Statistics, but anyone who is interested is very
> welcome to attend.
>
> Please send an email to Dr Jianxin Pan at [log in to unmask] to
> book a place. The maximum number of audiences we can take is about 40.
> Please note it is first come first serviced.
>
> Directions:
> The Ferranti building is No. 20 on the University Campus map at
> http://www.maths.man.ac.uk/mims/graphics/campus-map.pdf, and lies within 5
> minutes walk of Piccadilly railway station, which hosts mainline services
> to most areas of the UK (London, for example, is 2 hours away, and
> Manchester
> International Airport about 20 minutes). Detailed directions are available
> on the general information pages at
> http://www.maths.man.ac.uk/mims/info/directions.html
>
> Accommodations:
> The campus hotel Manchester Conference Centre is in walking distance
> (5 mins), see the details at
> http://www.conference.manchester.ac.uk/manchesterconferencecentre/
> Please directly book your accommodation with the Centre if you need
> to stay overnight.
>
> ---------------------------------------------
> Dr Jianxin Pan
> Reader in Statistics
> School of Mathematics
> University of Manchester
> PO Box 88, Sackville Street
> Manchester M60 1QD
> UK
>
> Tel: 0044 161-27-55864
> Fax: 0044 161-30-63220
> Email: [log in to unmask]
> Web page: http://www.ma.man.ac.uk/~jpan/
> --------------------------------------------
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