THE RC (M) ASSOCIATION MODEL AND CANONICAL CORRELATION ANALYSIS
نویسندگان
چکیده
منابع مشابه
Model Tuning with Canonical Correlation Analysis
Knowledge of the relationship between model parameters and forecast quantities is useful because it can aid in setting the values of the former for the purpose of having a desired effect on the latter. Here it is proposed that a well-establishedmultivariate statistical method known as canonical correlation analysis can be formulated to gauge the strength of that relationship. Themethod is appli...
متن کاملA gene-based test of association using canonical correlation analysis
MOTIVATION Canonical correlation analysis (CCA) measures the association between two sets of multidimensional variables. We reasoned that CCA could provide an efficient and powerful approach for both univariate and multivariate gene-based tests of association without the need for permutation testing. RESULTS Compared with a commonly used permutation-based approach, CCA (i) is faster; (ii) has...
متن کاملStochastic Canonical Correlation Analysis
We tightly analyze the sample complexity of CCA, provide a learning algorithm that achieves optimal statistical performance in time linear in the required number of samples (up to log factors), as well as a streaming algorithm with similar guarantees.
متن کاملNonparametric Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a classical representation learning technique for finding correlated variables in multi-view data. Several nonlinear extensions of the original linear CCA have been proposed, including kernel and deep neural network methods. These approaches seek maximally correlated projections among families of functions, which the user specifies (by choosing a kernel o...
متن کاملContinuous canonical correlation analysis
Given a bivariate distribution, the set of canonical correlations and functions is in general finite or countable. By using an inner product between two functions via an extension of the covariance, we find all the canonical correlations and functions for the so-called Cuadras-Augé copula and prove the continuous dimensionality of this distribution.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF THE JAPAN STATISTICAL SOCIETY
سال: 1997
ISSN: 1882-2754,1348-6365
DOI: 10.14490/jjss1995.27.109