Dear PLS users and researchers,
We are very pleased to announce the 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.
Below please find the scientific program.
For the registration form, please contact Dr. Laura TRINCHERA ([log in to unmask]).
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)
We hope this initiative is interesting to you and we look forward to welcoming you at SUPELEC in May!
Best regards,
Vincenzo Esposito Vinzi
Arthur Tenenhaus
Laura Trinchera
PLS WORKSHOP SCIENTIFIC PROGRAMME
---------------------------------------------------------------
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 - Umeå 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 appliquée - 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 appliquée - 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 appliquée - 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’Oréal 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
-----------------------------------------------------------------------------------------
Prof. Vincenzo Esposito Vinzi
ESSEC Business School of Paris and Singapore
Department of Information Systems & Decision Sciences
Avenue Bernard Hirsch - B.P. 50105
95021 Cergy-Pontoise Cedex - FRANCE
Web page: www.essec.edu/faculty/Esposito-Vinzi-Vincenzo
-----------------------------------------------------------------------------------------
"The people who make a difference in your life aren't the ones
with the most credentials, the most money, or the most awards.
They're the ones who care." - Charles Schultz
"The only statistics you can trust are those you falsified yourself"
Winston Churchill
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|