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Subject Syllabus

CB-304 - Computational Statistics

CSBS · Semester 3

Course Modules

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Multivariate Normal Distribution Functions Conditional Distribution and its relation to regression model Estimation of parameters

Statistical background Linear discriminant function analysis Estimating linear discriminant functions and their properties

Principal components Algorithm for conducting principal component analysis Deciding on how many principal components to retain H-plot

Factor analysis model Extracting common factors Determining number of factors Transformation of factor analysis solutions Factor scores

Introduction Types of clustering Correlations and distances Clustering by partitioning methods Hierarchical clustering Overlapping clustering K-Means Clustering Profiling and Interpreting Clusters