Redundancy analysis: an alternative for canonical correlation analysis
From MaRDI portal
Publication:1237026
DOI10.1007/BF02294050zbMath0354.92050MaRDI QIDQ1237026
Publication date: 1977
Published in: Psychometrika (Search for Journal in Brave)
Related Items (58)
Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution ⋮ Matrices with special reference to applications in psychometrics ⋮ Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis ⋮ Non-symmetrical composite-based path modeling ⋮ A user-oriented overview of multiway methods and software ⋮ Component analysis with different sets of constraints on different dimensions ⋮ On the exploration of linear latent effect for multivariate modeling ⋮ Kernel generalized canonical correlation analysis ⋮ Bayesian analysis of reduced rank regression ⋮ Predictor versus response permutation for significance testing in weighted regression and redundancy analysis ⋮ Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods ⋮ Unnamed Item ⋮ Human capital estimation in higher education ⋮ From dissimilarities among species to dissimilarities among communities: a double principal coordinate analysis ⋮ Robust approaches to redundancy analysis ⋮ %Gra: an SAS macro for generalized redundancy analysis ⋮ Multiblock PCAIV. Application in animal epidemiology ⋮ Dyadic analysis for multi-block data in sport surveys analytics ⋮ Aitchison's compositional data analysis 40 years on: a reappraisal ⋮ A comparison of various methods for multivariate regression with highly collinear variables ⋮ Functional extended redundancy analysis ⋮ An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships ⋮ Regularized reduced rank growth curve models ⋮ Testing the significance of the successive components in redundancy analysis ⋮ On estimation in the reduced-rank regression with a large number of responses and predictors ⋮ Refined approximations to permutation tests for multivariate inference ⋮ Dimensionality reduction approach to multivariate prediction ⋮ An extended redundancy analysis and its applications to two practical examples ⋮ Curve forecasting by functional autoregression ⋮ An improved method for generalized constrained canonical correlation analysis ⋮ INDSCAL model: geometrical interpretation and methodology ⋮ Regularized nonsymmetric correspondence analysis ⋮ Relationships among several methods of linearly constrained correspondence analysis ⋮ Formative Indicators and Effects of a Causal Model for Household Human Capital with Application ⋮ A multivariate reduced-rank growth curve model with unbalanced data ⋮ On a test of dimensionality in redundancy analysis ⋮ Enriched biplots for canonical correlation analysis ⋮ Statistical inference concerning several redundancy indices ⋮ Principal component analysis with external information on both subjects and variables ⋮ Multiobjective regression modification for collinearity ⋮ Regularized partial and/or constrained redundancy analysis ⋮ Partitioning predictors in multivariate regression models ⋮ Effect of agro-climatic conditions on near infrared spectra of extra virgin olive oils ⋮ Analysis of \(k\) sets of data, with differential emphasis on agreement between and within sets ⋮ Multiset sparse redundancy analysis for high‐dimensional omics data ⋮ Constrained stochastic extended redundancy analysis ⋮ On the relationships among latent variables and residuals in PLS path modeling: the formative-reflective scheme ⋮ Regularized linear and kernel redundancy analysis ⋮ On the number of principal components: a test of dimensionality based on measurements of similarity between matrices ⋮ Continuum redundancy-\textit{PLS} regression: a simple continuum approach ⋮ A short history of statistical association: from correlation to correspondence analysis to copulas ⋮ Rotated canonical analysis onto a reference subspace ⋮ Revisiting Guerry's data: introducing spatial constraints in multivariate analysis ⋮ Variable selection in compositional data analysis using pairwise logratios ⋮ Relationships between redundancy analysis, canonical correlation, and multivariate regression ⋮ Bayesian mixture model of extended redundancy analysis ⋮ On the optimality of the simultaneous redundancy transformations ⋮ Multilevel dimensionality-reduction methods
This page was built for publication: Redundancy analysis: an alternative for canonical correlation analysis
