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National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics. Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop. Washington (DC): National Academies Press (US); 2017 Feb 24.

Cover of Refining the Concept of Scientific Inference When Working with Big Data

Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop.

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BOARD ON MATHEMATICAL SCIENCES AND THEIR APPLICATIONS

  • DONALD SAARI, NAS, University of California, Irvine, Chair
  • DOUGLAS N. ARNOLD, University of Minnesota
  • JOHN B. BELL, NAS, Lawrence Berkeley National Laboratory
  • VICKI M. BIER, University of Wisconsin, Madison
  • JOHN R. BIRGE, NAE, University of Chicago
  • RONALD COIFMAN, NAS, Yale University
  • L. ANTHONY COX, JR., NAE, Cox Associates, Inc.
  • MARK L. GREEN, University of California, Los Angeles
  • PATRICIA A. JACOBS, Naval Postgraduate School
  • BRYNA KRA, Northwestern University
  • JOSEPH A. LANGSAM, Morgan Stanley (retired)
  • SIMON LEVIN, NAS, Princeton University
  • ANDREW W. LO, Massachusetts Institute of Technology
  • DAVID MAIER, Portland State University
  • WILLIAM A. MASSEY, Princeton University
  • JUAN C. MEZA, University of California, Merced
  • FRED S. ROBERTS, Rutgers University
  • GUILLERMO R. SAPIRO, Duke University
  • CARL P. SIMON, University of Michigan
  • KATEPALLI SREENIVASAN, NAS/NAE, New York University
  • ELIZABETH A. THOMPSON, NAS, University of Washington

Staff

  • MICHELLE K. SCHWALBE, Board Director
  • NEAL GLASSMAN, Senior Program Officer
  • LINDA CASOLA, Research Associate and Staff Writer/Editor
  • BETH DOLAN, Financial Associate
  • RODNEY N. HOWARD, Administrative Assistant
Copyright 2017 by the National Academy of Sciences. All rights reserved.
Bookshelf ID: NBK424924

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