Enrollment End Date
Created byProf Sugata Sen Roy
The course would start by giving the students an idea of how multivariate studies are different from univariate studies. Some discussions on the multivariate distributions and their properties will then be made. The focus will then shift to techniques which are specific to multivariate data. This would include dimension reduction techniques and classification techniques, both of which are widely used for big data analysis, as also cause-effect models for correlated responses. All the methods will be illustrated through examples and in several cases through the use of the R software.
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Course Syllabus & Schedule
Did graduation in Statistics (Hons) from Presidency College, Calcutta. Stood first in the post graduate examination in Statistics at University of Calcutta. Did Ph.D. in Statistics from University of Calcutta in the area of Time Series Analysis. Have been teaching at the University of Calcutta since 1989. Primary teaching and research interests are in Time Series Analysis, Regression Analysis, Econometrics, Development Statistics, Survival Analysis, Applied Multivariate Analysis and Functional Data Analysis.