Modern Statistical Computing: Tampere 7-8 October

[viesti Survo-keskustelupalstalla (2001-2013)]

Kirjoittaja: Simo Puntanen
Sähköposti:    -
Päiväys: 27.8.2004 11:31


University of Tampere
Department of Mathematics, Statistics & Philosophy
Statistics Unit

Short Course
Thursday, 7 October to Friday, 8 October 2004
Professor Robert Gentleman
Department of Biostatistics
Harvard School of Public Health, USA 

Short Course is supported by
the University of Tampere Foundation and the StatNet.

14-18 on Thursday afternoon, 7 October 2004
10-16 on Friday, 8 October 2004

Preliminary schedule:

14:00-14:20 Registration
14:20-14:30 Opening remarks by Professor Erkki Liski
14:30-15:30 Robert Gentleman: "New Challenges in Statistical Computing"

Abstract: Computing has evolved substantially over the past 20 years.
Some of the new challenges and opportunities for statistical, and
scientific, computing will be presented. These in turn raise
questions about pedagogy, research and publication. An overview of
some of the issues involved will be provided and some suggestions for
the future will be made.

Discussion: 15:30-16:00 Markus Jäntti, Esa Läärä (prepared comments)

Thursday 16:30-17:30 Seppo Mustonen: "MSC as I see it"

Discussion: 17:30-18:00 Reijo Sund (prepared comments)

19:00-22:00 Short Course Dinner (in the Departmental environment)

Friday 10-12 Robert Gentleman: "An Overview of the Bioconductor
Project: Scientific Computing for Computational Biology and

Abstract: Computational Biology and Bioinformatics present an
interesting and exciting range of problems that need to be addressed.
Statistics has much to offer, but the size of the problems, the
immediacy of the analysis and the rapidly evolving scientific
landscape present substantial challenges. The Bioconductor Project
( was initiated to address some of these issues.
A broad overview of the project will be given. Specific examples,
including microarray analysis, proteomics, and machine learning will
be presented.

12-13 Lunch

13-15 Robert Gentleman: "Graphs (nodes and edges)"

Abstract: Graphs provide an interesting and important data structure.
They can provide a valuable abstraction for a wide variety of
problems. In statistics they have been mainly used for graphical
models and for social network analysis. However, they are more
broadly interesting. Work in the Bioconductor project has produced
three software packages for working with graphs. These will be
presented together with their application to various problems.

15-16 Discussion

This is a preliminary schedule that may be changed. Participants are
expected to pre-register at their earliest convenience. Please
provide your name and full address (preferably by email) to

Secretary Riitta Järvinen, email:

The Workshop Dinner will be provided in the Departmental environment.
The price will be very moderate (announced soon). Those wishing to
attend the dinner, should do pre-booking to Riitta Järvinen no later
than 30 September 2004. (Early booking is encouraged to smoothen the

This course is supported by the University of Tampere Foundation and
StatNet. StatNet is a network of Finnish university departments,
research institutes, and professional societies that specialize in
statistical research or statistics production.

Please follow the updates of the course on 

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