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Workshop on computational methods for high dimensional dataExport this event to calendar

Thursday, April 26, 2012 (all day)

The Department of Statistics and Actuarial Science at the University of Waterloo is very pleased to announce a one day workshop on Computational Methods for High Dimensional Data to be given jointly by Professor Shoja'eddin Chenouri and Professor Ali Ghodsi.

This workshop is made possible by support from the Oncology Research and Methods Training Program through a grant to the Biostatistics program from the Ontario Institute for Cancer Research.

Abstract: In many modern areas of science and technology, researchers are faced with challenges regarding the analysis of high-dimensional data. Examples include genomic and proteomic studies, interpretation of digital images, dealing with network data, financial data, and many others. A variety of statistical techniques have been developed to deal with these types of data including dimension reduction, variable selection, and multiple testing techniques. This workshop is geared towards graduate students and aims to provide an overview of recently developed techniques for penalized regression (e.g. LASSO, adaptive LASSO, group LASSO, the SCAD, the Dantzig selector, the elastic net) and several methods for dimension reduction (e.g. principal component analysis (PCA), dual PCA, supervised PCA, kernel PCA, locally linear embedding (LLE), and Isomap). Selected topics on multiple testing will also be covered. The scope of application, some theory and details on how to implement many of these methods will be covered.

​Speakers: Shoja'eddin Chenouri and Ali Ghodsi Department of Statistics and Actuarial Science

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