Centre for Applied Social Surveys
SHORT COURSE: GRAPHICAL MODELLING
With Applications to the Social, Economic and Medical Sciences
Peter Smith and Joe Whittaker
14-16 September 1998
University of Southampton
Supported by the ESRC
under the Analysis of Large and Complex Datasets Programme
CASS is an ESRC Resource Centre hosted by
SCPR and the University of Southampton,
with the University of Surrey
Course Outline
The course introduces graphical models to research workers engaged in
the analysis of large and complex data sets. Graphical modelling is a
powerful practical technique for simplifying and describing
inter-relationships between many variables, based on the remarkable
correspondence between the statistical concept of conditional
independence and the graph-theoretic concept of separation.
The course gives a practical account of the techniques, with many
worked examples.
Course Content
graphical Gaussian models
graphical log-linear models
the Markov properties
methods of fitting graphical models to observational data
mixed interaction models
chain graph models
exact and Monte Carlo exact tests for graphical models
hands-on sessions using the MIM software for fitting graphical
models
Target Audience
The course is aimed at practising statisticians and at research
workers who use statistics with applications in the social, economic,
educational and medical sciences.
Course Materials
Participants will receive copies of transparencies and handouts.
The Instructors
Joe Whittaker is a senior lecturer in the Department of Mathematics
and Statistics at Lancaster University. He is author of the first
book on graphical modelling and has run many short courses on
graphical modelling.
Peter Smith is a lecturer in the Department of Social Statistics at
the University of Southampton. He has taught both Master courses and
on short courses on graphical modelling and exact tests.
Fee
300 pounds sterling (including course materials, coffee, tea and
lunch). Because of ESRC support, a number of bursaries are available
which reduce the fee to 70 pounds sterling for UK full-time students,
UK academic staff or ESRC-funded researchers.
Location
University of Southampton main campus on University Road, Highfield,
Southampton. During the course participants can be contacted via the
Department of Social Statistics (Tel: 01703 593048, Fax: 01703
593846).
Duration
The course will begin with registration and coffee at 10.30 a.m.
Monday 14 September 1998 and end around 4.00 p.m. Wednesday 16
September 1998.
Notes on Accommodation
Applicants wishing to reserve accommodation are asked to contact the
hotel or guesthouse directly. A list of hotels can be supplied if
required.
Deadlines and Refunds
Course places are limited and early completion of this form is
recommended. Payment must be made by 7 days before the course. No
refunds will be made for cancellations made later than 7 days before
the start of the course. When you register for the course, subject to
availability, you will be sent a confirmation. After confirmation,
you will be required to pay the fee unless you cancel 7 days before
the course or earlier.
Graphical Modelling - 14-16 September 1998
Registration Form
Please complete this form and return to:
Rebecca Bundock
Department of Social Statistics
University of Southampton
Southampton SO17 1BJ
(Fax: 01703 593846 Tel: 01703 593048 E-mail:
[log in to unmask])
Name: ______________________________
Title:__________________________
Affiliation:
_________________________________________________________________
Address for Correspondence:
___________________________________________________
______________________________________________________________________
______________________________________________________________________
E-mail: __________________________________
Telephone:
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Registration fee:
stlg
Either
(1) Standard fee 300 pounds
sterling ____________
OR
(2) Reduced fee with ESRC bursary 70 pounds sterling
____________
You must be a registered
UK university student, UK academic
staff or ESRC funded researcher.
Please provide details:
____________________________________
Please indicate either:
Cheque enclosed payable to University of Southampton
or
Send invoice to: _______________________________________________
_______________________________________________
_______________________________________________
Any special dietary or other requirements:
_____________________________________
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