Here below ais a simplified version of the conference home page which can be found at: http://www.pls07.org/
Local Scientific committee:
Harald Martens, Chairman,
Matforsk, Cigene and Norwegian University of Life Sciences
Tormod Næs, Matforsk
Magni Martens, Matforsk
Inge Helland, University
of Oslo
Elin Kubberød, Matforsk
Martin Høy, Matforsk
Ingunn Berget, Cigene and
Matforsk
Stig Omholt, Cigene and
Norwegian University of Life Sciences
Solve Sæbø,
Norwegian University of Life Sciences
Ulf Indahl, Norwegian University
of Life Sciences
International Scientific
Committee:
Vincenzo Esposito Vinzi,
Italy
Carlo Lauro, Italy
Michel Tenenhaus, France
Svante Wold, Sweden
Lars Munck, Denmark
Tomas Aluja-Banet, Spain
Alain Morineau, France
Huiwen Wang, China
Wynne Chin, USA
Organising Committee:
Tormod Næs,
Chairman, Matforsk
Harald Martens, Matforsk,
Cigene and Norwegian University of Life Sciences
Solveig Le Divenah,
Conference secretary, Matforsk
Martin Høy,
Matforsk
Ingunn Berget, Cigene
and Matforsk
Solve Sæbø,
Norwegian University of Life Sciences
Kjell Merok, Matforsk
September 4th
17:00 - 20:00 Registration
and get together at Matforsk
Poster presenters are asked to bring their posters.
September
5th
07:45 Bus from hotel
to Matforsk
08:15 - 08:45 Registration
08:45 09:00 Harald Martens
and Tormod Næs. Opening Ceremony
Session A:
Integrating different PLS cultures
09:00 09:30 Vincenzo
Esposito Vinzi - The PLS approach to data exploration and modeling:
an everlasting matter of dispute or a playground for integrating different
cultures?
09:30 09:55 Lars Munck,
Lars Nørgaard, Birthe Møller - Mathematical models and data
visualisation programs adapted to explore causality in the finely tuned
reproducible spectra from biological networks.
09:55 10:20 Solve Sæbø,
Achim Kohler, Tormod Næs, Harald Martens - A tool-box of methods
for multi-matrix modelling.
10:20 10:35 Coffee break
10:35 11:05 Fred
L. Bookstein - PLS for interdisciplinary biometrics:
representations and reinterpretations
of the singular-value theorem
11:05 11:30 Inge S.
Helland - PLS from model reduction under symmetry.
11:30 11:55 Kim H.
Esbensen, Marinda Swanepoel - PLS-discrimination reveals systematic
sampling deficiences re. representative sampling at the winery weighbridge.
11:55 12:30 Discussion
12:30 14:00 Lunch / Poster Session
Session B:
Applications in social sciences: sensometrics,
consumer science, econometrics
Chairman Magni Martens
14:00 14:30 Michel
Tenenhaus - A bridge between PLS path modeling and ULS-SEM.
14:30 14:55 Gastón
Sánchez, Tomás Aluja - A simulation study of PATHMOX
(PLS path modeling
segmentation tree) sensitivity.
14:55 15:20 Valérie
Lengard, Ingrid Måge, Martin Kermit - L-PLS regression for consumer
preference analysis.
15:20 15:45 Open talk
15:45 16:00 Coffee break
16:00 16:25 Alba Martínez
Ruiz, Tomás Aluja Banet - Partial least squares path modeling
in patent value analysis: a proposal.
16:25 16:50 Benedetto
Torrisi, Giorgio Skonieczny, Sebastiano Piccolo - PLS to evaluate the
effects of the technological innovation on the European regional wealth.
16:50 17:15 Antonio
Jesús Caballero Domínguez, Gregoria Mateos-Aparicio Morales
- PLS-Path modelling in the Spanish national health system.
17:15 17:40 Pedro Simões
Coelho, Maria H. Almeida, Manuel J. Vilares - Sample Size Effect on
the Comparison of Likelihood and Pls Estimators for Structural Equation
Modeling: A Simulation With Customer Satisfaction Data.
17:40 18:15 Discussion
18:30 21:00 Poster session / Buffet supper
21:15 Bus from Matforsk to
the hotel
September 6th
08:30 Bus from hotel to Matforsk
Session C:
Causality in latent variables
Chairman Vincenzo Esposito Vinzi
09:00 09:30 Odd
Aalen Statistics, causality and dynamic path modelling, with
applications to medicine.
09:30 09:55 Christian
Derquenne - Free model for generalized path modelling.
09:55 10:20 Charlotte
M. Andersen, Mikael A. Petersen, Rasmus Bro - Causal models of oxidation.
10:20 10:50 Carsten
Stig Poulsen Causality in marketing: Use and misuse.
10:45 11:00 Coffee break
11:00 11:30 Stig
Omholt - The causality concept in a dappled world.
11:30 11:55 Christian
M. Ringle, Bradley Wilson, William Callaghan, Jörg Henseler -
Exploring causal path directionality for a marketing model using Cohens
path methods.
11:55 12:30 Discussion
12:30 13:30 Lunch
Session D:
Applications in natural science: chemometrics
/ functional genomics
Chairman Fred Bookstein
13:30 14:00 Anne-Laure
Boulesteix, Christine Porzelius, Martin Daumer - Microarray-based
prediction with emphasis on clinical parameters: A PLS approach.
14:00 14:25 Lars Nørgaard,
Florent Baty, Martin Schumacher, Rasmus Bro - Extended canonical variates
analysis compared to selected multivariate classification methods on two
different types of data structures spectroscopic and microarray data.
14:25 14:50 Ellen Mosleth
Færgestad, Kristian Hovde Liland, Harald Martens, Rasmus Bro,
Frans van den Berg, - The use of n-way data compression approaches for
exploring causality in functional
genomics.
14:50 15:15 Tomas Öberg,
Tao Liu - Global and local PLS regression models to predict vapor pressur.
15:15 15:35 Discussion
15:35 15:50 Coffee break
Session E:
Multiblock, multi-way and path models
Chairman Anne-Laure Boulesteix
15:50 16:20 Age
Smilde, Daniel Vis - Causality and Emergence in Biological Systems.
16:20 16:45 Christian
M. Ringle, Rainer Schlittgen, - A genetic algorithm segmentation approach
for uncovering and separating groups of data in PLS path modeling.
16:45 17:10 Laura Trinchera,
Silvia Squillacciotti, Vincenzo Esposito Vinzi, Michel Tenenhaus - PLS
path modeling in presence of a group structure: REBUS- PLS, a new esponse-based
approach.
17:10 17:25 Discussion
17:30 Bus from Matforsk
to hotel
19:00 Bus from hotel to Gamle
Logen, Oslo
19:30 Conference dinner
at Gamle Logen, Oslo
24:00 Bus from Gamle Logen,
Oslo, to hotel
September 7th
08:30 Bus from hotel to Matforsk
Session F:
New developments in PLS methodology
Chairman Inge Helland
09:00 09:30 Harald
Martens, Svante Wold - PLS tools
for exploring causalities.
09:30 09:55 Jörg
Henseler - On the convergence of partial least squares path modeling.
09:55 10:20 Aurea Grané,
Josep Fortiana - A functional PLS algorithm, with application to goodness-of-fit
tests.
10:20 10:45 Bjørn-Helge
Mevik, Kjetil Jørgensen, Ingrid Måge, Tormod Næs
- LS-PLS: A regression method combining design and spectral data as predictors.
10:45 11:00 Coffee break
11:00 11:25 Mohamed Hanafi,
Achim Kohler - Equivalence of hierarchical principal component analysis
and common components and specific weights analysis and their relations
to INDSCAL model.
11:25 11:45 Ulf Indahl,
Kristian H. Liland - Powered partial least squares discriminant analysis.
11:45 12:10 Huiwen Wang,
Jie Meng - Nonlinear structure analysis with partial least squares regression
based on spline transformation.
12:10 - 12:40 Discussion
and summary of the symposium
12:40 - 12:50 Invitation
to next PLS symposium in China (PLS´09).
12:50 14:00 Lunch
14:00 Bus from Matforsk to
Gardermoen Airport, Oslo
Raquel Cervigón, Javier Moreno, José Manuel Blas, César Sanchez, José Millet: Comparison of principal components analysis and partial least squares regression through anaesthetic effects on atrial fibrillation
Reinaldo Francisco Teófilo, João Paulo Ataide Martins, Márcia Miguel Castro Ferreira: Computational performance of PLS algorithms: a comparison
Jörg Henseler, Bradley Wilson, Theo Dijkstra: Testing nonlinear effects in PLS path models: a simulation-based comparison of available approaches
Jörg Henseler: A new and simple approach to multi-group analysis in partial least squares path modeling
Lars Gidskehaug, A. Kohler, K. Jørgensen, N.K. Afseth, Å. Randby, S. Lien, H.G. Olsen, H. Martens: Biospectroscopy and partial least squares regression as a sensitive tool for optimisation of milk quality
H. Martens, S.R. Veflingstad, E. Plahte, D. Bertrand, M. Martens, S.W. Omholt: Multivariate exploration of a high-dimensional model in systems biology: The Delta/Notch non-linear dynamic model for cell differentiation
Harald Martens, Martin Høy: PLS without LS
Magni Martens, Michel Tenenhaus, Vincenzo Esposito Vinzi, Harald Martens: Three PLS cultures, one PLS principle
Rika Nishikiori, Kousuke Okamoto, Akiko Matsuura, Yukino Ochi, Shotaro Morimoto, Tadashi Saito, Norihito Kawashita, Teruo Yasunaga, Masaya Kawase, Tatsuya Takagi: The improvement of the nonparametric regression method based on the PLS algorithm
Ulf Indahl, Tormod Næs: Canonical partial least squares analysis - a unified PLS approach to classification and regression problems
Christian M. Ringle, Bradley Wilson, Oliver Götz: A Monte Carlo robustness study on formative measurement model specification in CBSEM and PLS
Emmanuel Jakobowicz, Gilbert Saporta: A nonlinear PLS path modeling based on monotonic B-spline transformations
Kristian Hovde Liland, Ellen Mosleth Færgestad, Harald Martens, Frans van der Berg, Rasmus Bro: The use of n-way analysis for testing effects of design parameters - a useful strategy in searching for causality
Achim Kohler, Mohamed Hanafi: Deflations on multiblock consensus PCA and multiblock PLSR
R. Diez, M.C. Ortiz, L. Sarabia, I. Birlouez-Aragon: Front face fluorescence spectroscopy together with partial least squares calibration: a suitable tool for the assessment of the impact of the thermical treatment of a whey-based model for infant milk formulas.
Christian M. Ringle, Silvia Squillacciotti, Laura Trinchera: A study on methods for capturing and treating heterogeneity in PLS path models by unit segmentation: FIMIX-PLS, PLS-TPM and REBUS-PLS
Jie Wang, Huiwen Wang, Gilbert Saporta: Discussion on importance of variable selection in PLS1 modeling
August : Svante Wold is unfortunately
not able to come to the PLS´07 symposium, Harald Martens will take
his place in the programme: see "Programme"
July: Pre conference course:
see "Information".
July: Travel information:
see "Information".
April: Please note that
the PLS07 symposium has be relocated to Matforsk, Ås,
appr. 30 km. from Oslo.
When studying complex real-world systems, ranging from functional genomics to market research, it is important to generate enough data to catch what the real world can tell us. The essential properties that control a system are often difficult to observe directly; to find them requires that we measure many variables.
It is equally important to have data modelling methods that convert the multivariate data tables into interpretable and statistically valid results, in light of our prior theory.
In a wide range of scientific disciplines the principle of Partial Least Squares (PLS) is used for studying underlying relationships in sets of related data tables. Two main PLS cultures are evident today: In economics Herman Wolds original PLS method (multi-block PLS path modelling) is used to study causal relationships between consumer preferences and various psychosocial descriptors based on extensive use of prior knowledge. In chemometrics the two-block PLS Regression is used for generating interpretable and stable predictors with minimum use of prior knowledge. Within each culture, a number of different extensions of the PLS based methods have been developed recently.
Previous PLS meetings
have been held in:
Paris, France (1999)
Capri, Italy (2001)
Lisboa, Portugal (2003)
Barcelona, Spain (2005)
Next meeting is planned
to be held in:
Beijing, China, (2009)
Mail address: pls07@matforsk.no
Website: www.pls07.org