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Topic: Canonical correlation analysis


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In the News (Mon 28 Dec 09)

  
 Quantitative Methods in Public Administration
Partial least squares (PLS) regression (path) analysis is an alternative to OLS regression, canonical correlation, or structural equation modeling (SEM) for analysis of systems of independent and response variables.
Like canonical correlation, it can also relate the set of independent variables to a set of multiple dependent (response) variables.
Overall, the mix of advantages and disadvantages means PLS is favored as a predictive technique and not as an interpretive technique, except for exploratory analysis as a prelude to an intepretive technique such as multiple linear regression or structural equation modeling.
www2.chass.ncsu.edu /garson/pa765/pls.htm   (0 words)

  
 Multivariate statistics - Wikipedia, the free encyclopedia
Regression analyses are based on forms of the general linear model.
Artificial neural networks extend regression methods to non-linear multivariate models.
Multidimensional scaling covers various algorithms to determine a set of synthetic variables that best represent the pairwise distances between records.
en.wikipedia.org /wiki/Multivariate_statistics   (0 words)

  
 GSP Publications and Reports
Optimal interpolation analysis of high-latitude ionospheric electrodynamics using empirical orthogonal functions: Estimation of dominant modes of variability and temporal scales,
Analysis of the diurnal range and variability of daily temperature in a nested modeling experiment: Comparison with observations and 2xCO2 results.
On the validity and identifiability of spatial deformation models for heterogeneous spatial correlation structure.
www.image.ucar.edu /GSP/Publications   (0 words)

  
 Yoshio Takane's Homepage
Hwang, H., Dillon, W. R., and Takane, Y. An extension of multiple correspondence analysis for identifying heterogenous subgroups of respondents.
Kiers, H. L., and Takane, Y. A generalization of GIPSCAL for the analysis of nonsymmetric data.
Yanai, H., and Takane, Y. Canonical correlation analysis with linear constraints.
takane.brinkster.net /Yoshio   (0 words)

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