About Joydeep Chowdhury Joydeep Chowdhury Postdoctoral Research Fellow, Statistics functional data analysis multivariate analysis spatial statistics quantile regression non-parametric methods Joydeep Chowdhury is a postdoctoral fellow in the Spatio-Temporal Statistics & Data Science research group of Professor Marc G. Genton. His current research activities focus on problems in multivariate statistics, spatial statistics and functional data analysis. Events Presented Events Apr 30 - May 6, 2023 Sub-dimensional Mardia measures of multivariate skewness and kurtosis Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics May 1, 12:00 - 13:00 B9 L3 R3128 The Mardia measures of multivariate skewness and kurtosis summarize the respective characteristics of a multivariate distribution with two numbers. However, these measures do not reflect the sub-dimensional features of the distribution. Consequently, testing procedures based on these measures may fail to detect skewness or kurtosis present in a sub-dimension of the multivariate distribution. We introduce sub-dimensional Mardia measures of multivariate skewness and kurtosis, and investigate the information they convey about all sub-dimensional distributions of some symmetric and skewed families of multivariate distributions.
Sub-dimensional Mardia measures of multivariate skewness and kurtosis Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics May 1, 12:00 - 13:00 B9 L3 R3128 The Mardia measures of multivariate skewness and kurtosis summarize the respective characteristics of a multivariate distribution with two numbers. However, these measures do not reflect the sub-dimensional features of the distribution. Consequently, testing procedures based on these measures may fail to detect skewness or kurtosis present in a sub-dimension of the multivariate distribution. We introduce sub-dimensional Mardia measures of multivariate skewness and kurtosis, and investigate the information they convey about all sub-dimensional distributions of some symmetric and skewed families of multivariate distributions.
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