Connecting the multivariate partial least squares with canonical analysis: a path-following approach
DOI10.1007/s11634-019-00370-xzbMath1474.62203OpenAlexW2967216837MaRDI QIDQ2228286
Publication date: 17 February 2021
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11634-019-00370-x
multiplicitypartial least squarescanonical correlation analysiseconomicspath-followinganalytic singular value decompositionanalytic eigenvalue decompositionmulti-group case
Applications of statistics to economics (62P20) Measures of association (correlation, canonical correlation, etc.) (62H20) Applications of functional analysis in optimization, convex analysis, mathematical programming, economics (46N10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
- Regularized generalized canonical correlation analysis
- The analytic SVD: on the non-generic points on the path
- Generalized correlations in the singular case
- Regularized multiple-set canonical correlation analysis
- Singular values of two-parameter matrices: An algorithm to accurately find their intersections
- Numerical computation of an analytic singular value decomposition of a matrix valued function
- Differential equations for the analytic singular value decomposition of a matrix
- On a curve veering aberration
- Canonical ridge and econometrics of joint production
- Numerical methods for the computation of analytic singular value decompositions
- Applied functional data analysis. Methods and case studies
- A uniform framework for the combination of penalties in generalized structured models
- Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
- An Extension of MATLAB to Continuous Functions and Operators
- Some remarks on the functional relation between canonical correlation analysis and partial least squares
- MATCONT
- Ridge Regression: Applications to Nonorthogonal Problems
This page was built for publication: Connecting the multivariate partial least squares with canonical analysis: a path-following approach