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Statistical Analysis for High-Dimensional Data - The Abel Symposium 2014 (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R4,345
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Statistical Analysis for High-Dimensional Data - The Abel Symposium 2014 (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Abel Symposia, 11
Expected to ship within 10 - 15 working days
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This book features research contributions from The Abel Symposium
on Statistical Analysis for High Dimensional Data, held in Nyvagar,
Lofoten, Norway, in May 2014. The focus of the symposium was on
statistical and machine learning methodologies specifically
developed for inference in "big data" situations, with particular
reference to genomic applications. The contributors, who are among
the most prominent researchers on the theory of statistics for high
dimensional inference, present new theories and methods, as well as
challenging applications and computational solutions. Specific
themes include, among others, variable selection and screening,
penalised regression, sparsity, thresholding, low dimensional
structures, computational challenges, non-convex situations,
learning graphical models, sparse covariance and precision
matrices, semi- and non-parametric formulations, multiple testing,
classification, factor models, clustering, and preselection.
Highlighting cutting-edge research and casting light on future
research directions, the contributions will benefit graduate
students and researchers in computational biology, statistics and
the machine learning community.
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