63 citations · 148 across the 10 of their papers we have counts for
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Boxplots and quartile plots for grouped and periodic angular data
Joshua D. Berlinski, Fan Dai, Ranjan Maitra
Angular observations, or observations lying on the unit circle, arise in many disciplines and require special care in their description, analysis, interpretation and visualization.…
Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
Carlos Llosa-Vite, Ranjan Maitra
Statistical analysis of tensor-valued data has largely used the tensor-variate normal (TVN) distribution that may be inadequate when data comes from distributions with heavier or l…
Exploratory Factor Analysis of Data on a Sphere
Fan Dai, Karin S. Dorman, Somak Dutta +1
Data on high-dimensional spheres arise frequently in many disciplines either naturally or as a consequence of preliminary processing and can have intricate dependence structure tha…
Fast model-based clustering of partial records
Emily M. Goren, Ranjan Maitra
Partially recorded data are frequently encountered in many applications and usually clustered by first removing incomplete cases or features with missing values, or by imputing mis…
A Matrix--free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data
Fan Dai, Somak Dutta, Ranjan Maitra
This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer obser…
Classification with the matrix-variate- distribution
Geoffrey Z. Thompson, Ranjan Maitra, William Q. Meeker +1
Matrix-variate distributions can intuitively model the dependence structure of matrix-valued observations that arise in applications with multivariate time series, spatio-temporal…