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Discover New Methods for Dealing with High-Dimensional Data

A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.

Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation....

This book considers the forces that shaped India's postwar position as a major power. It examines the growth and development of India's defense infrastructure from the eve of the Second World War in 1938 through the transfer of power and partition in 1947 to the creation of the Baghdad Pact in 1955. The study shows how the British invested in the expansion of India's defense infrastructure during the Second World War in order to defend their imperial interests east of Suez. It also examines the effects of partition and de jure independence on India's access to this infrastructure. Finally,...