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Michael Stein

Michael Stein
Ralph and Mary Otis Isham Professor, Department of Statistics and the College

My research focuses on statistical models and methods for spatial and spatial-temporal processes. In particular, I am interested in the nature of the spatial-temporal interactions implied by these models and on developing statistical methods for assessing these interactions.

My main motivation for studying spatial-temporal processes is to describe variations in the physical environment. Some of the processes my collaborators and I are currently studying include stratospheric ozone, surface meteorology at high temporal resolution and climate at a range of spatial and temporal scales. A major component of my research in recent years is on analysis of massive spatial-temporal datasets and on the resulting computational challenges that arise. I am particularly interested in approaches to approximating likelihoods for Gaussian process models in which the resulting covariance matrices are large, dense and unstructured. I am working with numerical analysts to bring to bear the best methods in numerical linear algebra to the approximation of Gaussian likelihoods.

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