The Multiple Facets of Partial Least Squares and Related Methods PLS, Paris, France, 2014 /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Abdi, Hervé (Επιμελητής έκδοσης), Esposito Vinzi, Vincenzo (Επιμελητής έκδοσης), Russolillo, Giorgio (Επιμελητής έκδοσης), Saporta, Gilbert (Επιμελητής έκδοσης), Trinchera, Laura (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Springer Proceedings in Mathematics & Statistics, 173
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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. .