180 citations · 509 across the 7 of their papers we have counts for
4 papers · 1 filter
Functional Principal Components Analysis of Spatially Correlated Data
Chong Liu, Surajit Ray, Giles Hooker
This paper focuses on the analysis of spatially correlated functional data. The between-curve correlation is modeled by correlating functional principal component scores of the fun…
Quadratic distances on probabilities: A unified foundation
Bruce G. Lindsay, Marianthi Markatou, Surajit Ray +2
This work builds a unified framework for the study of quadratic form distance measures as they are used in assessing the goodness of fit of models. Many important procedures have t…
Model selection in High-Dimensions: A Quadratic-risk based approach
Surajit Ray, Bruce G. Lindsay
In this article we propose a general class of risk measures which can be used for data based evaluation of parametric models. The loss function is defined as generalized quadratic…
The topography of multivariate normal mixtures
Surajit Ray, Bruce G. Lindsay
Multivariate normal mixtures provide a flexible method of fitting high-dimensional data. It is shown that their topography, in the sense of their key features as a density, can be…