Title of Talk: On hierarchical modeling for massively scalable inference from spatially oriented datasets
Abstract: Advances in geospatial technologies have created data-rich environments which provide extraordinary opportunities to understand the complexity of large and spatially indexed data and help tackle increasingly complex inferential questions in the natural sciences. A setting commonly encountered today is where a very large number of spatially-referenced outcomes have been monitored over different spatial locations and inferential interest resides with how the relationships among these outcomes across space. These lead to high-dimensional spatial process models that accommodate richness and flexibility, such as non-stationary behavior. However, direct application of such multivariate models to even moderate-sized spatial data, unfortunately, is computationally prohibitive. Here, we discuss approaches that help overcome these inferential hurdles without sacrificing richness in underlying association structures. We focus upon a few different approaches: (a) low-rank spatial processes, (b) conditionally specified low-dimensional approximations, and (c) spatial meta-analysis that pools independent spatial models across different computational cores to offer massively scalable inference.
Sudipto Banerjee’s research, dissertation advising and mentoring activities focus upon statistical modeling and analysis of geographically referenced datasets, Bayesian statistics, interface between statistics and Geographical Information Systems, and statistical computing. He has published over ninety peer-reviewed journal articles, several book chapters and has co-authored a book titled “Hierarchical Modeling and Analysis for Spatial Data”. Over half of these have emerged directly from Dr. Banerjee’s mentoring and advising activities to students seeking MS and PhD degrees in Biostatistics. In 2009 he was honored with the Abdel El Sharaawi Award from the International Environmetrics Society. In 2011 he was honored with the Mortimer Spiegelman Award from the American Association of Public Health. Dr. Banerjee is also an elected Fellow of the American Statistical Association and an elected member of the International Statistical Institute.
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