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Refining the concept of scientific inference when working with big data : proceedings of a workshop / Ben A. Wender, rapporteur ; Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and their Applications, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine.
Rapporteur
Wender, Ben A.
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Format
Book
Language
English
Published/Created
Washington, DC : the National Academies Press, [2017]
©2017
Description
xii, 101 pages : color illustrations ; 26 cm
Availability
Available Online
Ebook Central Perpetual, DDA and Subscription Titles
National Academies Press
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Status
Location Service
Notes
ReCAP - Remote Storage
QA76.9.B45 W46 2017g
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Details
Subject(s)
Big data
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Congresses
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Mathematical statistics
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Science
—
Methodology
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Experimental design
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Issuing body
National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics
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National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics
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Related name
Refining the Concept of Scientific Inference When Working with Big Data (Workshop) (2016 : Washington, D.C.)
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Bibliographic references
Includes bibliographical references (pages 69-73).
Contents
Introduction
Framing the workshop
Inference about discoveries based on integration of diverse data sets
Inference about casual discoveries driven by large observational data
Inference when regularization is used to simplify fitting of high-dimensional models
Panel discussion
References
Appendixes.
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ISBN
9780309454445
0309454441
OCLC
979992569
RCP
C - S
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Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Refining the concept of scientific inference when working with big data : proceedings of a workshop / The National Academies of Sciences, Engineering, and Medicine ; Ben A. Wender, rapporteur.
id
99125348051706421