Statistical Analysis for High-Dimensional Data

The Abel Symposium 2014

Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Statistics
Cover of the book Statistical Analysis for High-Dimensional Data by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319270999
Publisher: Springer International Publishing Publication: February 16, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319270999
Publisher: Springer International Publishing
Publication: February 16, 2016
Imprint: Springer
Language: English

This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, 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.

More books from Springer International Publishing

Cover of the book Carbon Dioxide Capture: An Effective Way to Combat Global Warming by
Cover of the book Reinterpreting Sub-Saharan Cities through the Concept of Adaptive Capacity by
Cover of the book Religious Tourism and Heritage in Brazil by
Cover of the book Computational Intelligence and Quantitative Software Engineering by
Cover of the book TP-Model Transformation-Based-Control Design Frameworks by
Cover of the book Violent Women in Contemporary Theatres by
Cover of the book Charge-Sharing SAR ADCs for Low-Voltage Low-Power Applications by
Cover of the book Congestive Heart Failure and Cardiac Transplantation by
Cover of the book Time Series Analysis and Its Applications by
Cover of the book Fractures Around the Knee by
Cover of the book Gender and Choice after Socialism by
Cover of the book Recent Trends in Materials and Devices by
Cover of the book Ambient Assisted Living by
Cover of the book Universal Access in Human-Computer Interaction. Access to the Human Environment and Culture by
Cover of the book Construction Program Management – Decision Making and Optimization Techniques by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy