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ALLSTAT  October 2010

ALLSTAT October 2010

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Subject:

MEETING: Complexity and Statistics: Tipping Points and Crashes

From:

Richard Wilkinson <[log in to unmask]>

Reply-To:

Richard Wilkinson <[log in to unmask]>

Date:

Mon, 11 Oct 2010 10:10:41 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (129 lines)

COMPLEXITY AND STATISTICS: TIPPING POINTS AND CRASHES

A Royal Statistical Society meeting sponsored by

Industrial Mathematics Knowledge Transfer Network
and
Cambridge Centre for Risk Studies, University of Cambridge Judge 
Business School

Date: 11am - 5pm Friday 22nd October 2010
Registration from 10:30am

Venue: Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX.

Summary:
There is much interest in the possibility of detecting and predicting 
critical changes in complex systems. Climate tipping points, earthquakes 
and financial crashes are three examples. A variety of techniques for 
tackling these challenges are being developed by physicists, 
mathematicians and statisticians, but their success is still a matter 
for debate. This meeting brings together researchers and practitioners 
from several disciplines to present and discuss their ideas about this 
important topic, and aims to stimulate further interest and advances in 
the field.

Full details are available at
http://www.rss.org.uk/main.asp?page=1321&event=1186

Speakers:

DIDIER SORNETTE (ETH Zurich)
Parallels between earthquake prediction, financial crash prediction and 
epileptic seizures predictions

MICHAEL THOMPSON (University of Cambridge/University College London) and 
JAN SIEBER (University of Portsmouth)
Climate tipping as a noisy bifurcation: a predictive technique

CLAUDIE BEAULIEU (Princeton University)
Change point detection using the informational approach with 
applications in atmospheric sciences

VALERIE LIVINA and TIM LENTON (University of East Anglia)
Applying degenerate fingerprinting in studying climate tipping points

COSMA SHALIZI (Carnegie Mellon University/Santa Fe Institute)
Markovian, predictive, and conceivably causal representations of 
stochastic processes

Registration:
You need not be a member of the Royal Statistical Society to attend, but 
registration is required via the web form that will soon be available from:

http://www.rss.org.uk/environmental

Twenty free places for Retired/Student Fellows are available courtesy of 
the meeting sponsors and will be allocated on a first-come, first-served 
basis. Otherwise, registration fees, which cover lunch and refreshments, 
are as follows:

Retired/Student Fellows 18 - with 20 free places allocated on a first 
come first serve basis
CStat/GradStat 18
Fellows 20
Members 25
Non-members 30


Programme:

10:30 Registration and Refreshments
11:00 Welcome
11:15 Didier Sornette
12:00 Michael Thompson and Jan Sieber
12:45 Lunch
13:45 Claudie Beaulieu
14:30 Valerie Livina
15:15 Refreshments
15:45 Cosma Shalizi
16:30 Panel discussion
17:00 Close

Directions:<_http://www.rss.org.uk/pdf/RSSMap.pdf_>

Further details are available on the Environmental Statistics Section 
website
<https://www.jiscmail.ac.uk/cgi-bin/filearea.cgi?LMGT1=envstat&a=get&f=/index.html> 


The meeting organisers are Chris Ferro (University of Exeter) and Nick 
Watkins (British Antarctic Survey). For further details, please visit 
<_http://www.jiscmail.ac.uk/files/envstat/index.html_> or contact Chris 
Ferro <[log in to unmask]>.

Sponsors links:

Industrial Mathematics Knowledge Transfer Network
_https://ktn.innovateuk.org/web/mathsktn_

Cambridge Centre for Risk Studies, University of Cambridge Judge 
Business School
_http://www.risk.jbs.cam.ac.uk/_

-- 
***********************************************************
Richard Wilkinson 
Lecturer in Statistics
School of Mathematical Sciences
University of Nottingham
Nottingham, NG7 2RD
[log in to unmask]

http://www.maths.nottingham.ac.uk/personal/pmzrdw/
***********************************************************


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