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Über dieses Buch

This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The text begins with the invited communications of current leaders in the field who cover the history of PLS, an overview of methodological issues, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th International Conference on Partial Least Squares and Related Methods held in Paris, France, on 26-28 May, 2014. They are organized in four coherent sections: 1) new developments in genomics and brain imaging, 2) new and alternative methods for multi-table and path analysis, 3) advances in partial least square regression (PLSR), and 4) partial least square path modeling (PLS-PM) breakthroughs and applications. PLS methods are very versatile methods that are now used in areas as diverse as engineering, life science, sociology, psychology, brain imaging, genomics, and business among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.

Inhaltsverzeichnis

Frontmatter

Keynotes

Frontmatter

2016 | OriginalPaper | Buchkapitel

Chapter 1. Partial Least Squares for Heterogeneous Data

Peter Bühlmann

2016 | OriginalPaper | Buchkapitel

Chapter 2. On the PLS Algorithm for Multiple Regression (PLS1)

Yoshio Takane, Sébastien Loisel

2016 | OriginalPaper | Buchkapitel

Chapter 3. Extending the Finite Iterative Method for Computing the Covariance Matrix Implied by a Recursive Path Model

Zouhair El Hadri, Mohamed Hanafi

2016 | OriginalPaper | Buchkapitel

Chapter 4. Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA

Anne-Laure Boulesteix

2016 | OriginalPaper | Buchkapitel

Chapter 5. Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution

Pasquale Dolce, Vincenzo Esposito Vinzi, Carlo Lauro

New Developments in Genomics and Brain Imaging

Frontmatter

2016 | OriginalPaper | Buchkapitel

Chapter 6. Imaging Genetics with Partial Least Squares for Mixed-Data Types (MiMoPLS)

Derek Beaton, Michael Kriegsman, Joseph Dunlop, Francesca M. Filbey, Hervé Abdi

2016 | OriginalPaper | Buchkapitel

Chapter 7. PLS and Functional Neuroimaging: Bias and Detection Power Across Different Resampling Schemes

Nathan Churchill, Babak Afshin-Pour, Stephen Strother

2016 | OriginalPaper | Buchkapitel

Chapter 8. Estimating and Correcting Optimism Bias in Multivariate PLS Regression: Application to the Study of the Association Between Single Nucleotide Polymorphisms and Multivariate Traits in Attention Deficit Hyperactivity Disorder

Erica Cunningham, Antonio Ciampi, Ridha Joober, Aurélie Labbe

2016 | OriginalPaper | Buchkapitel

Chapter 9. Discriminant Analysis for Multiway Data

Gisela Lechuga, Laurent Le Brusquet, Vincent Perlbarg, Louis Puybasset, Damien Galanaud, Arthur Tenenhaus

New and Alternative Methods for Multitable and Path Analysis

Frontmatter

2016 | OriginalPaper | Buchkapitel

Chapter 10. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis

Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Edouard Duchesnay, Vincent Frouin, Arthur Tenenhaus

2016 | OriginalPaper | Buchkapitel

Chapter 11. Supervised Component Generalized Linear Regression with Multiple Explanatory Blocks: THEME-SCGLR

Xavier Bry, Catherine Trottier, Fréderic Mortier, Guillaume Cornu, Thomas Verron

2016 | OriginalPaper | Buchkapitel

Chapter 12. Partial Possibilistic Regression Path Modeling

Rosaria Romano, Francesco Palumbo

2016 | OriginalPaper | Buchkapitel

Chapter 13. Assessment and Validation in Quantile Composite-Based Path Modeling

Cristina Davino, Vincenzo Esposito Vinzi, Pasquale Dolce

Advances in Partial Least Square Regression

Frontmatter

2016 | OriginalPaper | Buchkapitel

Chapter 14. PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles

Yi Zhou, Yanan Zhu, Siu-wai Leung

2016 | OriginalPaper | Buchkapitel

Chapter 15. Functional Linear Regression Analysis Based on Partial Least Squares and Its Application

Huiwen Wang, Lele Huang

2016 | OriginalPaper | Buchkapitel

Chapter 16. Multiblock and Multigroup PLS: Application to Study Cannabis Consumption in Thirteen European Countries

Aida Eslami, El Mostafa Qannari, Stéphane Legleye, Stéphanie Bougeard

2016 | OriginalPaper | Buchkapitel

Chapter 17. A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients

Mélanie Blazère, Fabrice Gamboa, Jean-Michel Loubes

2016 | OriginalPaper | Buchkapitel

Chapter 18. A New Bootstrap-Based Stopping Criterion in PLS Components Construction

Jérémy Magnanensi, Myriam Maumy-Bertrand, Nicolas Meyer, Frédéric Bertrand

PLS Path Modeling: Breaktroughs and Applications

Frontmatter

2016 | OriginalPaper | Buchkapitel

Chapter 19. Extension to the PATHMOX Approach to Detect Which Constructs Differentiate Segments and to Test Factor Invariance: Application to Mental Health Data

Tomas Aluja-Banet, Giuseppe Lamberti, Antonio Ciampi

2016 | OriginalPaper | Buchkapitel

Chapter 20. Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis

Wynne W. Chin, Annette M. Mills, Douglas J. Steel, Andrew Schwarz

2016 | OriginalPaper | Buchkapitel

Chapter 21. Brand Nostalgia and Consumers’ Relationships to Luxury Brands: A Continuous and Categorical Moderated Mediation Approach

Aurélie Kessous, Fanny Magnoni, Pierre Valette-Florence

2016 | OriginalPaper | Buchkapitel

Chapter 22. A Partial Least Squares Algorithm Handling Ordinal Variables

Gabriele Cantaluppi, Giuseppe Boari

Backmatter

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