Paris: 4th Statistical Research Workshop on “PLS (Partial Least Squares) Developments”

This year’s Workshop #4 enjoys the presence of the current leading scholars in several domains at the upfront of experimental research. Workshop #4 is jointly organized and sponsored by the ESSEC Business School of Paris (www.essec.edu) and the SUPELEC Engineering School of Paris (www.supelec.fr).

It will take place at SUPELEC (site of Gif-sur-Yvette) on 10 and 11 May 2010 (from 9:30 to 18:00) and will address the theme of:

PLS and Related Methods for cutting-edge Research in Experimental Sciences: Methodological Advances and Challenging Applications

This event is run with the scientific sponsorship of the Société Française de Statistique (SFdS – www.sfds.asso.fr) and its Group on Data Mining et Apprentissage that contributed to setting up the scientific program.

For the registration form, please contact Dr. Laura TRINCHERA (laura.trinchera@supelec.fr).

Participation in the Workshop is open to all interested researchers and practitioners. It is free of charges but compulsory for organizational purposes. Lunches (to be paid on site) will be organised on both days at the “SUPELEC Cantine” for the participants who book their lunches in the registration form.

Deadline for registering (via e-mail or fax):  26 April 2010

The SUPELEC Engineering School (www.supelec.fr) can be easily reached by train from the centre of Paris. You have to take the RER B train – direction SAINT-RÉMY-LÈS-CHEVREUSE. Stop at the station “Le Guichet”. Then take the bus line APTR 269.002 “Le Guichet-Saclay” on the square located slightly to the north of the RER station (you should follow the arrows “PLS Workshop #4″ and you can’t go wrong!). Stop at “Supélec”. Your travel time will vary from 30 minutes starting from the south of Paris to 45 minutes from Paris centre to the “Le Guichet” station. Then you have 10 minutes by bus to reach the School. (http://www.supelec.fr/388_p_12076/how-to-come.html)

PLS WORKSHOP SCIENTIFIC PROGRAMME

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DAY 1 : 10 May 2010

9h30         Arrival of participants: Welcome Coffee & Croissants

9h50         Welcome address

Session: FACING THE REAL WORLD: RECENT ADVANCES AND CRITICAL ISSUES FOR PLS METHODS

Chair: Vincenzo Esposito Vinzi

10h00-10h45         Johan Trygg (Institute of Chemistry – Ume√• University, Sweden)

Role of Chemometrics and PLS methods in Personalized medicine – Opportunities and methodological challenges to transform the delivery of healthcare

10h45-11h30         Gilbert Saporta (Chaire de Statistique appliqu√©e – CEDRIC-CNAM, France)

PLS Regression for functional data

11h30-12h15         Anne Laure Boulesteix (IBE – University of Munich, Germany)

PLS for prediction with high-dimensional -omics data: overview and critical issues

12h15-14h00         Lunch (served at the SUPELEC Cantine)

Session: SPARSE PARTIAL LEAST SQUARES REGRESSION

Chair: Arthur Tenenhaus

14h00-14h45         Sunduz Keles (University Of Wisconsin, USA)

Sparse Partial Least Squares: Theory and Applications

14h45-15h30         Kim-Anh Le Cao (The University of Queensland, Australia)

PLS extensions for integration and variable selection, application to high throughput biological data

15h30-16h00         Edouard Duchesnay (NEUROSPIN, CEA-Saclay Center, France)

Bridging the gap between imaging and genetics with sparse PLS

16h00-16h30         Coffee Break

Session: FURTHER TOPICS IN CAUSAL NETWORKS: CATEGORICAL DATA AND BAYESIAN NETWORKS

Chair: Laura Trinchera

16h30-17h10         Giorgio Russolillo (Chaire de Statistique appliqu√©e – CEDRIC-CNAM, France)

The Non-Metric Partial Least Squares Approach

17h10-17h50         Lionel Jouffe (Bayesia, France)

Probabilistic Structural Equations with Bayesian Belief Networks – Principles and Applications

DAY 2 : 11 May 2010

9h30         Arrival of participants: Welcome Coffee & Croissants

Session: PLS PATH MODELING AS A GENETRAL FRAMEWORK FOR MULTI-BLOCK DATA ANALUYSIS

Chair: Arthur Tenenhaus

10h00-10h45         Michel Tenenhaus (HEC Paris, France)

A PLS approach to regularized generalized canonical correlation analysis

10h45-11h30         Vincenzo Esposito Vinzi (ESSEC Business School, France),

Giorgio Russolillo  (Chaire de Statistique appliqu√©e – CEDRIC-CNAM, France) and Laura Trinchera (SUPELEC, France)

An integrated PLS Regression-based approach for multidimensional blocks in PLS Path Modeling

11h30-12h15         Mohamed Hanafi (ENITIAA-INRA, France)

Some Computational Results related to PLS PM and Multiblock methods

12h30-14h00         Lunch (served at the SUPELEC Cantine)

Session: KERNEL PARTIAL LEAST SQUARES

Chair: Michel Tenenhaus

14h00-14h45         Nicole Kramer (Weierstrass-Institute Berlin, Germany)

Conjugate Gradient Regularization – a Statistical Framework for Partial Least Squares Regression

14h45-15h30         Arthur Tenenhaus (SUPELEC, France)

Kernel Generalized Canonical Correlation Analysis

15h30-16h00         Coffee Break

16h00-16h40         Philippe Bastien (L‚ÄôOr√©al Research, France)

Some algorithmic aspects of PLS and Kernel PLS regression with extension to PLS Cox regression

Session: THE PLS WORLD IN THE XLSTAT DATA ANALYSIS ENVIRONMENT

16h40-17h10         Emmanuel Jakobowicz (XLSTAT – Addinsoft, France)

Advanced topics in PLS Path Modeling using XLSTAT

17h10         Closing address