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ALLSTAT  1999

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Subject:

COURSE/SEMINAR: Research Program, Fields Institute, Autumn 1999

From:

Matt Whiley <[log in to unmask]>

Reply-To:

Matt Whiley <[log in to unmask]>

Date:

Tue, 29 Jun 1999 10:13:21 +0100 (BST)

Content-Type:

TEXT/plain

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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Matt Whiley                            

Department of Statistics                 Phone : +44 (0)141 330 6118 
University of Glasgow                    Fax   : +44 (0)141 330 4814
[log in to unmask]             http://www.stats.gla.ac.uk/postgrad
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
[log in to unmask]    http://www.stats.gla.ac.uk/allstat
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

------------- Begin Forwarded Message -------------

Research Seminars, Courses, Sewall Wright Lectures at The Fields Institute, 
Toronto, Canada.
Website address:  www.fields.utoronto.ca.

PROGRAM ANNOUNCEMENT


CAUSAL INTERPRETATION AND IDENTIFICATION OF CONDITIONAL INDEPENDENCE
STRUCTURES
SEPTEMBER TO NOVEMBER 1999

Organizing Committee:  Helene Massam (University of Virginia),
David Tritchler (University of Toronto).

Scientific Committee:  Phil Dawid (University College London),
Steffen Lauritzen (Aalborg University),
Michael Perlman (University of Washington)

The aim of this research program is threefold:
1.To bring together a group of eminent researchers in different
subdisciplines of Statistics, Probability, Algebra, Artificial
Intelligence, and some areas of applications to improve on the 
current understanding of the basic structures of Highly Structured
Stochastic Systems (HSSS) models.
2.To train graduate students in Statistics, and researchers in areas of
applications, in the newly developed techniques.  It is particularly
important that graduate students be exposed to a variety of 
disciplines involved in the study of HSSS so that they may take a
multidisciplinary approach in their research.  In such workshops, students
should also update their computational skills to be able to use and
understand some of the most recent computational methods.
3.To offer short courses, accessible to the business, medical or social
sciences world, to introduce the already developed software to non
specialists who are in decision making positions (i.e. epidemiologists,
consultants in investments, sociologists, etc.)

COURSES
The following courses, aimed at graduate students, session participants
and non specialists in Statistics interested in their applications, 
will be held:

SEPTEMBER 20 - OCTOBER 22, 1999 Course 1 :  Graphical Markov Models. 
Steen Andersson (Indiana University).

SEPTEMBER 20 - OCTOBER 1, 1999 Course 2 - Linear Structural Equations 
and Graphical Models. Jan Koster (Erasmus University).

SHORT COURSES

OCTOBER 27 - OCTOBER 29, 1999   Short Course 1:  Diagnosing and Planning 
with Bayesian Networks and Influence Diagrams (A Practical Guide).
Uffe Kjaerulff (Aalborg University) and Kristian Olesen (Aalborg
University).

NOVEMBER 15 - NOVEMBER 16, 1999 Short Course 2:  Graphical Markov Models: 
Their Role in Statistical Analysis of Data Generating Processes. 
David Cox (Nuffield College, Oxford) and Nanny Wermuth (ZUMA - Center for
Survey Research, Mannheim)

LECTURE SERIES
SEWALL WRIGHT LECTURE SERIES

Judea Pearl (University of California) "The Mathematics of Cause 
and Effect".
[Tentative dates: November 15 - November 19, 1999]* 

Glenn Shafer (Rutgers University) "The Language of Causality". 
[Tentative dates: October 21, 1999 & November 4, 1999]*

SEMINARS
For experts in the different fields represented, we plan longer 
research seminars discussing the latest developments:

SEPTEMBER 27 - OCTOBER 8, 1999 Seminar 1:  Causal Interpretation of
Graphical Models. Phil Dawid (University College London) and 
Glenn Shafer (Rutgers University).

OCTOBER 11 - OCTOBER 29, 1999 Seminar 2:  Relating Causal Structure 
to Conditional Independence Structure. Thomas Richardson (University 
of Warwick) and Peter Spirtes (Carnegie Mellon University).

NOVEMBER 1 - NOVEMBER 12, 1999 Seminar 3:  Learning Causal Models. 
David Heckerman (Microsoft Research) and Steffen Lauritzen (Aalborg
University).

SEPTEMBER 27 - OCTOBER 15, 1999 Seminar 4:  Conditional Independence
Structures. Milan Studeny (Academy of Science of the
Czech Republic) and Frantisek Matus (Academy of Science of the Czech
Republic). 

OCTOBER 25 - NOVEMBER 12, 1999 Seminar 5 - Algebraic Methods in Graphical
Markov Models. Steen Andersson (Indiana University), Gerard Letac
(Universite Paul Sabatier), Michael Perlman, (University of Washington) 
and Helene Massam (University of Virginia).

CLOSING WORKSHOP  [TENTATIVE DATES: NOVEMBER 22 - NOVEMBER 24, 1999]*  
This workshop will present achievements from the program activity.

* These dates are subject to change.  Please visit our website for updates.

CALL FOR APPLICANTS
Funding may be available for Graduate Students interested in 
participating for up to a two month period.  Graduate Students 
should forward
a letter of application and a letter of recommendation from their 
supervisor.
Postdoctoral Fellows should send a letter of application, curriculum
vitae and three reference letters.  Graduate course participants should
register on-line (www.fields.utoronto.ca/graduate-courses). Applications
should be sent to the organizing committee by
    fax:  (416) 348-9759 or e-mail:[log in to unmask]

ON-LINE REGISTRATION for short courses, seminars and
program updates can be found on our web-site:
                            www.fields.utoronto.ca







------------- End Forwarded Message -------------




%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

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