BS/IMS 2004 · 6th World Congress of the Bernoulli and IMS societies
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2004-01-01 → 2004-12-31
- EU contribution
- €40,190
- Participants
- 1
- Scheme
- EIF
Lines connect the coordinator with its partners.
Project objective
The proposed LCF is the Sixth edition of the joint meeting of the Institute of Mathematical Statistics and the Bernoulli Society for Probability and Statistics. These joint meetings take place every four years and are major worldwide events in Probability and Statistics. The meeting is addressed to specialists, postgraduate students and young researchers with an interest in Mathematical Statistics and Probability. In this context, the meeting will offer a unique opportunity of putting in contact young students and scientists from Europe with the main leaders from America in Probability and Statistics. Furthermore, young students and scientists from Europe will be able to discuss and exchange ideas with their colleagues from other parts of the world. This will be very helpful to promote future collaborations and exchanges. The program covers a wide range of topics in statistics and probability, presenting recent developments and testate of the art in a variety of modern research topics and in applications such as mathematical finance and statistical bio informatics. The program include up to twelve Special Invited Lectures given by leading specialists, thirty-five Invited Paper Sessions and a large number of contributed talks.The Invited Paper Sessions will include, among others, the following topics:Biological networks- modelling and inference Statistical genetics Communication schemes and randomised algorithms Compression and analysis of massive datasets Mathematical finance Applications of random matrices Brownian motion Concentration inequalities Large deviations Mixing of finite Markov chains Percolation, statistical mechanics, interacting particle systems Probability on graphs Applications of particle filtering in statistics Dimension reduction for high dimensional data Machine learning in complex structures
Original text from CORDIS.
Participants
- UNIVERSITAT DE BARCELONA · BARCELONACoordinatorSpain
Links
Data: CORDIS, © European Union