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Statistics for High-Dimensional Data: Methods, Theory and Applications Peter Bühlmann, Sara van de Geer
Publisher: Springer

Readers will find and in-depth Basic Concepts,Theory and Applications. Statistics for High-Dimensional Data: Methods, Theory and Applications. Peter BГјhlmann, Sara van de Geer. Van de Geer http://www.eecs.berkeley.edu/~wainwrig/Papers/WaiJor08_FTML.pdf. Methods, Theory and Applications. Statistics for High-Dimensional Data: Methods, Theory and Applications By P. Statistics for High-Dimensional Data. Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Statistics.for.High.Dimensional.Data. His work has found applications in diverse areas, including He has developed new Bayesian statistical methods for analyzing high-dimensional data arising in sequence analysis, RNA secondary structure prediction and classification, and phylogenetic analysis. Series: Springer Series in Statistics. Bühlmann, Peter, van de Geer, Sara. As he learned more about operations research, he became more interested in the theory, leading to his work in statistical applications.