Canonical Correlation Analysis for Geographical and Chronological Responses

• Published in: Procedia computer science Vol. 96; pp. 1351 - 1360
• Main Authors: Yamamura, Mariko, Yanagihara, Hirokazu, Solvang, Hiroko Kato, Øien, Nils, Haug, Tore
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2016
• Subjects: Canonical correlation analysis; Multidimensional time-space data; Variable selection; Canonical correlation analysis; Multidimensional time-space data; Variable selection

Data containing information about observed location and time are called geographical and chronological data. The purpose of this paper is to propose how we can analyze geographical and chronological data with multiple response variables by innovating the varying coefficient model in canonical correl...