The Multiple Facets of Partial Least Squares and Related Methods : PLS, Paris, France, 2014 / edited by Hervé Abdi, Vincenzo Esposito Vinzi, Giorgio Russolillo, Gilbert Saporta, Laura Trinchera.

Format:

Book

Contributor:

Abdi, Hervé, Editor.

Esposito Vinzi, Vincenzo., Editor.

Russolillo, Giorgio., Editor.

Saporta, G. (Gilbert), Editor.

Trinchera, Laura., Editor.

Series:

Springer Proceedings in Mathematics & Statistics, 2194-1017 ; 173

Language:

English

Subjects (All):

Statistics.

Neural networks (Computer science).

Statistical Theory and Methods.

Mathematical Models of Cognitive Processes and Neural Networks.

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Local Subjects:

Statistical Theory and Methods.

Mathematical Models of Cognitive Processes and Neural Networks.

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Physical Description:

1 online resource (313 p.)

Edition:

1st ed. 2016.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

Summary:

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. Integrates theoretical and methodological advances from recognized leaders in the field, including the conference's invited speakers Important applications in domains such as genomics, brain imaging, sensory analysis, marketing, psychometrics and information systems Covers PLS regression, PLS path modeling and developments that go beyond PLS specific methods, extending to other component-based and multi-block or multi-way methods .

Contents:

1. Partial Last Squares for Heterogeneous Data

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

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

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

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

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

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

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

9. Discriminant Analysis for Multiway Data

10. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis

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

12. Partial Possibilistic Regression Path Modeling

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

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

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

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

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

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

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

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

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

22. A Partial Least Squares Algorithm Handling Ordinal Variables. .

Notes:

Includes index.