Canonical correlation analysis for irregularly and sparsely observed ...

The proposed approach automatically deals with irregularly or sparsely observed functional data, and brings a new insight into the interpretation of canonical ...

Canonical correlation analysis for irregularly and sparsely

The proposed approach automatically deals with irregularly or sparsely observed functional data, and brings a new insight into the interpretation of canonical ...

Mentioning: 8 - a b s t r a c tSeveral approaches for functional canonical correlation analysis have been developed to measure the association between ...

Canonical correlation analysis for irregularly and sparsely observed ...

By Hyejin Shin and Seokho Lee; Abstract: Several approaches for functional canonical correlation analysis have been developed to measure the ...

Canonical correlation analysis for irregularly and sparsely observed ...

... of Multivariate Analysis, volume 134, pages 1-18. Canonical correlation analysis for irregularly and sparsely observed functional data. Hye ...

Functional generalized canonical correlation analysis for studying ...

It is robust to sparsely and irregularly observed data, making it applicable in many settings. We establish the monotonic property of the ...

Methods of canonical analysis for functional data - ScienceDirect.com

Canonical correlation analysis for irregularly and sparsely observed functional data. 2015, Journal of Multivariate Analysis. Citation Excerpt : Several ...

Tangent functional canonical correlation analysis for densities and ...

Finally, Shin and Lee [24] developed. FCCA for irregularly and sparsely observed functional data. He et al. [11] review four different ...

Functional Generalized Canonical Correlation Analysis for studying ...

It is robust to sparsely and irregularly observed data, making it applicable in many settings. We establish the monotonic property of the ...

Functional generalized canonical correlation analysis for studying ...

It is robust to sparsely and irregularly observed data, making it applicable in many settings. We establish the monotonic property of the solving procedure and ...

Asymmetric canonical correlation analysis of Riemannian and high ...

“Canonical Correlation Analysis for Irregularly and Sparsely. Observed Functional Data”. In: Journal of Multivariate Analysis 134, pp. 1–18 ...

Canonical correlation - Wikipedia

In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance ...

Longitudinal Canonical Correlation Analysis - PMC

... resolutions with irregular grids. We modeled trajectories of the multivariate variables using random effects and found the ...

Some properties of canonical correlations and variates in infinite ...

... of functional canonical correlation as a maximum of correlations of ... Canonical correlation analysis for irregularly and sparsely observed functional data.

Functional Singular Component Analysis

... of longitudinal data with sparse and irregular observations ... estimate of the functional canonical correlation for the case where the data consist of sparse and.

Electronic Journal of Applied Statistical Analysis

Canonical correlation analysis for irregularly and sparsely observed functional data. Journal of Multivariate Analysis, 134, 1-18. Strandberg, J. (2013) ...

Unit canonical correlations and high-dimensional discriminant ...

... of curves using canonical correlation analysis. The proposed approach automatically deals with irregularly or sparsely observed functional data, and brings ...

Canonical correlation analysis when the data are curves.

... of the design. Expand. Add to Library. Alert. 1 Excerpt. Canonical correlation analysis for irregularly and sparsely observed functional data.

Sparse canonical correlation analysis for identifying, connecting and ...

... of specific genes, and then comparing the observed changes of enzymes and metabolites to what was predicted on the basis of the pathway. Few ...

Methods of Canonical Analysis for Functional Data1

Functional Canonical Correlation Analysis (FCA) is a tool to quantify correlations be- tween pairs of observed random curves for which a sample is available.