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The Multiple Facets of Partial Least Squares and Related Methods: PLS, Paris, France, 2014 [Paperback]

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  • Category: Books (Mathematics)
  • ISBN-10:  331982144X
  • ISBN-10:  331982144X
  • ISBN-13:  9783319821443
  • ISBN-13:  9783319821443
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  331982144X-11-SPRI
  • SKU:  331982144X-11-SPRI
  • Pages:  316
  • Pages:  316
  • Item ID: 105305927
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Oct 01 to Oct 03
  • Notes: Brand New Book. Order Now.
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, andbusiness among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.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. Discriminal#"
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