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Programme:

July 2004

Sunday 25

Monday 26

Tuesday 27

Wednesday 28

Thursday 29

Friday 30

Saturday 31

9-10.20

 

(8-9) Rec.

Levy

C5[1.1]- C62[0.1]- M9[B]

Wald

C34[1.1]- C53[0.1]- M7[M]

Wald

C6[2.1]- C63[1.1]- C38[0.1]

Wald

C61[2.1]- C65[2.2]- C59[0.1]

Laplace

(9-10) Op. Cer

10.20-10.45

Coffee-break

10.45-12.30

(10.30-11.30) Kolmogorov

1[M]- 3[B]- 13[1.1]- 12[0.1]

C55[2.2]- C9[3.1]- C52[2.1]

5[0.1]- 20[1.1]- 29[2.1]- 35[M]

C19[3.1]- C31[0.3]- M8[4.1]

10[1.1]- 22[2.1]- 33[M]- 31[0.1]

C22[3.1]- C48[4.1]- M2[2.2]

19[2.1]- 23[0.1]- 17[2.2]- 26[M]

C32[4.1]- C3[0.3]- C21[3.1]

(10.30-11.30) Rietz

(11.30-12.30) Bernoulli

(11.30) Cl. Cer.

12.30-15.00

ERC (12.30-14)[RC]

IMS3a[RC] -3b[SJ] (12.30-14)

CBS[RC] (12.30-14)

IMS5[RC] (12.30-13.15)

GABS[RC] (12.30-14)

 

P1

P2

P3

 

 

 

Lunch

 

 

15.00-16.45

Rec.
(15-20)

IMS1 (15-20)
[SJ]

2[1.1]- 8[B]- 16[2.1]- 25[0.1]- C45[2.2]

(15-16)
ML5

4[2.1]- 6[0.1]- 9[B]- 18[1.1]- C2[3.1]- C37[2.2[

(15-16)
ML3

7[2.1]- 14[1.1]- 21[2.2]- 32[0.1]- C39[3.1]- C57[0.3]- M3[4.1]

(15-16)
ML4

11[4.1]- 28[2.1]- 34[0.1]- 27[3.1]- 30[2.2]- C10[0.3]

(15-16)
ML1

15[0.1]- 24[2.1]- C16[2.2]- C29[3.1]- C44[4.1]

(15-16)
ML2

16.45-17.05

 

IMS2 [RC] (16.45-20.45)

Cofee-break

IMS6 [RC] (16.45-19.45)

 

17.05-18.45

C1[M]- C11[0.1]- C14[2.2]- C47[1.1]- C23[3.1]- C36[2.1]- M1[B]

C35[0.1]- C51[3.1]- C12[M]- C49[2.2]- C28[1.1]- C43[2.1]- M5[B]

C20[1.1]- C24[M]- C27[2.2]- C40[0.1]- C8[4.1]- M4[2.1]- C25[3.1]

C56[0.3]- C13[M]- C7[4.1]- C54[0.1]- C33[3.1]- C46[2.1]- C41[2.2]

C4[3.1]- C17[2.1]- C58[M]- C30[4.1]- C15[0.1]- C18[2.2]

 

 

(19.30) Welcome

(19.15-20.45) BSIC[SJ]

IMS4 (19-21)

(19.15-20.45) EU[SJ]

(19.45)
Social Events

 

(20.00) Town Hall

(21.00) Diner

Click here to download the Abstract and Programme

Note for all the mathematical finance sessions at the Barcelona Stock Market:
The entrance to the Barcelona Stock Market in shorts is not allowed.

Rec.: Reception
Op. Cer.: Opening Ceremony
Cl. Cer.: Closure Ceremony
Cn: Contributed sessions no. n
Red color: Paranimf. Yellow color: Aula Magna.
Aula Magna[M],
Paranimf, [0.1], [0.3], [1.1], [2.1], [2.2], [3.1], [4.1]
Borsa de Barcelona [B]
Sala de Juntes [SJ]
Ramón y Cajal [RC]

Bern.: Bernoulli Lecture. Jun Liu
Laplace.: Laplace Lecture. Steffen Lauritzen
Wald: Wald Lecture. Iain Johnstone
Kolmogorov Lecture. David Aldous
Lévy Lecture. Wendelin Werner
Rietz Lecture. Peter Bickel

 

Medallion Lectures:
ML1: Vladimir Koltchinskii
ML2: Evarist Giné
ML3: Cun-Hui Zhang
ML4: Alison Etheridge
ML5: Dominique Picard

 

IMS1: IMS Executive Committee Meeting
IMS2: IMS 1st Council Meeting
IMS3a: IMS Editors Luncheon (1)
IMS3b: IMS Editors Luncheon (2)
IMS4: IMS Presidential Address & Reception
IMS5: IMS Business Meeting
IMS6: 2nd Council Meeting

 

ERC: Meeting of the European Regional Committee
BSIC: BS Institutes Committee
CBS: Council meeting of BS
EU: Scientific Council of EURANDOM
GABS: General Assembly of BS

 

invited sessions and organizers:

1-Biological networks - modelling and inference

Marianne Huebner

2-Inference for dynamical spatial/temporal models

Valerie Isham

3-Mathematical finance

Nizar Touzi

4-Modeling spatial and temporal dependence for extremes

Richard A. Davis

5-Statistical genetics

David Clayton

6-Statistics in molecular biology

Terry Speed

7-Statistical methods in brain mapping

Keith Worsley

8-Statistics in finance and econometrics

Yacine Ait-Sahalia

9-The interface of insurance and finance

Ragnar Norberg

10-Brownian motion

Yuval Peres

11-Coalescents, coagulation and fragmentation

Jean Bertoin

12-Concentration inequalities

Sergey Bobkov

13-Conformal invariance and stochastic Loewner evolutions

Wendelin Werner

14-Large deviations

Erwin Bolthausen

15-Measure-valued processes and SPDE

Jean Francois LeGall

16-Metastability

Frank den Hollander

17-Mixing of finite Markov chains

Dana Randall

18-Percolation, statistical mechanics, interacting particle systems

Agoston Pisztora

19-Probability on graphs

Jeff Steif

20-Random Matrices and Related Processes I

Alexander Soshnikov

21-Random Matrices and Related Processes II

Alan Edelman

22-Random walks in random environments and random media

Nina Gantert

23-Function estimation

Alexandre Tsybakov

24-Applications of particle filtering in statistics

Christophe Andrieu

25-Causality and multi-stage decision problems

Jamie Robins

26-Dimension reduction for high dimensional data

Ker-Chau Li

27-False discovery rates

Felix Abramovich

28-Model choice and goodness of fit in nonparametrics

Winfried Stute

29-Machine learning in complex structures

Peter Bartlett

30-Nonparametric analysis for time series

Qiwei Yao

31-Statistical analysis of point processes

Rick Shoenberg

32-Statistical inference for stochastic differential equations

Mathieu Kessler

33-Function space valued modeling

Anestis Antoniadis

34-Biostatistics

Niels Keiding

35-Graphical models in statistics

Thomas Richardson

 

Contributed Session:

C01

Population Models

Monday 17:05 to 19.05

C02

Probability Theory

Tuesday 15:00 to 16:45

C03

Stochastic Partial Differential Equations

Friday 10:45 to 12:30

C04

Stochastic Equations

Friday 17:05 to 18:45

C05

Non Parametric Likelihood

Tuesday 9:00 to 10:20

C06

Density Estimation I

Thursday 9:00 to 10:20

C07

Limit Theorems

Thursday 17:05 to 19:05

C08

Topics in Probability Theory

Wednesday 17:05 to 19:05

C09

Interacting Particle Systems

Tuesday 10:45 to 12:40

C10

Stochastic Analysis III

Thursday 15:00 to 16:45

C11

Stochastic Analysis I

Monday 17:05 to 19:05

C12

Stochastic Analysis II

Tuesday 17:05 to 19:05

C13

Levy Processes I

Thursday 17:05 to 18:45

C14

Empirical Processes

Monday 17:05 to 18:45

C15

Random Walks

Friday 17:05 to 19:05

C16

Random Graphs

Friday 15:00 to 16:00

C17

Stochastic Geometry

Friday 17:05 to 18:45

C18

Markov Chains

Friday 17:05 to 18:05

C19

Inference for Stochastic Processes I

Wednesday 10:45 to 12:05

C20

Inference for Stochastic Processes II

Wednesday 17:05 to 19:05

C21

Second Order Processes

Friday 10:45 to 12:05

C22

Goodness of Fit

Thursday 10:45 to 12:30

C23

Applied Probability

Monday 17:05 to 18:25

C24

Graphical Markov Models

Wednesday 17:05 to 19:05

C25

Fractional Brownian Motion

Wednesday 17:05 to 18:45

C27

Analysis of Censored Data

Wednesday 17:05 to 19:05

C28

Statistical Analysis of Images

Tuesday 17:05 to 19:05

C29

Dimension Reduction

Friday 15:00 to 16:45

C30

Long Memory Processes

Friday 17:05 to 18:45

C31

Semiparametric Models

Wednesday 10:45 to 12:30

C32

Lévy Processes II

Friday 10:45 to 12:30

C33

Autoregressive Models

Thursday 17:05 to 18:25

C34

Information and Related Topics

Wednesday 9:00 to 10:20

C35

Percolation and Spin Glasses

Tuesday 17:05 to 18:45

C36

Optimal Stopping and Control

Monday 17:05 to 19.05

C37

Stochastic Processes II

Tuesday 15:00 to 16:45

C38

Coagulation and Fragmentation Processes

Thursday 9:00 to 10:20

C39

Graphical Models

Wednesday 15:00 to 16:20

C40

Statistics in Genetics

Wednesday 17:05 to 18:45

C41

Data Analysis and Classification

Thursday 17:05 to 18:45

C43

Special Topics in Multivariate Analysis

Tuesday 17:05 to 18:45

C44

Testing in Mixture Models

Friday 15:00 to 16:45

C45

Bootstrap I

Monday 15:00 to 16:20

C46

Special Topics in Testing Hypothesis

Thursday 17:05 to 18:45

C47

Bootstrap II

Monday 17:05 to 18:45

C48

Time Series

Thursday 10:45 to 12:05

C49

Estimation and Robustness in Parametric Models

Tuesday 17:05 to 18:45

C51

Information and Learning

Tuesday 17:05 to 18:25

C52

Generalized Linear Models

Tuesday 10:45 to 12:30

C53

Topics in non Parametric Statistics

Wednesday 9:00 to 10:20

C54

Kernel Estimation

Thursday 17:05 to 18:45

C55

Data Analysis  

Tuesday 10:45 to 12:30

C56

Bayesian Methods II

Thursday 17:05 to 18:45

C57

Bayesian Methods I

Wednesday 15:00 to 16:45

C58

Non-Parametric Regression

Friday 17:05 to 18:45

C59

Extremal Analysis

Friday 9:00 to 10:00

C61

M-Estimates and Related Topics

Friday 9:00 to 10:20

C62

Stochastic processes I

Tuesday 9:00 to 10:20

C63

Sequential Analysis

Thursday 9:00 to 10:20

C65

Density Estimation II

Friday 9:00 to 10:00

M1

Stochastic Volatility Models

Monday 17:05 to 18:45

M2

Ruin Probabilities

Thursday 10:45 to 12:30

M3

American and Barrier Options

Wednesday 15:00 to 16:45

M4

Risk Theory

Wednesday 17:05 to 19:05

M5

Mathematical  Finance

Tuesday 17:05 to 18:45

M6

Statistics in Finance I

Wednesday 9:00 to 10:20

M8

Statistics in Finance II

Wednesday 10:45 to 12:30

M9

Special topics in  Finance

Tuesday 9:00 to 10:20