Complexity and Statistics: Tipping Points and Crashes Meeting – Friday 22 October 2010
Date and venue
Friday 22 October 2010; 11am – 5pm
Royal Statistical Society
12 Errol St
London
EC1Y 8LX
Meeting summary
This event is being held in association with the Knowledge Transfer Network (KTN) for Industrial Mathematics, and the Cambridge Judge Business School.
There is much interest in the possibility of detecting and predicting critical changes in environmental and other 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.
Speakers
Didier Sornette (ETH Zurich)
Parallels between Earthquake Prediction, Financial Crash Prediction and Epileptic Seizures Predictions.
Michael Thompson (Cambridge/UCL) and Jan Sieber (Portsmouth)
Climate Tipping as a Noisy Bifurcation: a Predictive Technique.
Claudie Beaulieu (Princeton)
Change Point Detection using the Informational Approach with Applications in the Atmospheric Sciences
Valerie Livina (University of East Anglia)
Applying Degenerate Fingerprinting in Studying Climate Tipping Points
Cosma Shalizi (Carnegia Mellon/Santa Fe)
Markovian, Predictive, and Conceivably Causal Representations of Stochastic Processes
Convenors
Chris Ferro (Exeter) and Nick Watkins (British Antarctic Survey)
Registration
Registration from 10.30am onwards.
Registration fees
The registration fee includes lunch and refreshments and is as follows:
- Retired/Student Fellows: TBA
- CStat/GradStat £18
- Fellows £20
- Members £25
- Non-members £30
Registration form will be available soon or contact Chris Ferro (email: C.A.T.Ferro@exeter.ac.uk) for further details.
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