Communication-Efficient Distributed Statistical Inference

Jordan, Michael I; Lee, Jason D.; Yang, Yun Yun

doi:10.1080/01621459.2018.1429274

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Communication-Efficient Distributed Statistical Inference

Author(s): Michael I. Jordan ¹ , Jason D. Lee ² , Yun Yang ³

Publication date Created: February 05 2018

Publication date (Electronic): February 05 2018

Journal: Journal of the American Statistical Association

Publisher: Informa UK Limited

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An MCMC approach to classical estimation

Victor Chernozhukov, Han-han Hong (2003)

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On asymptotically optimal confidence regions and tests for high-dimensional models

Sara van de Geer, Peter Bühlmann, Ya’acov Ritov … (2014)

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A scalable bootstrap for massive data

Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar … (2014)

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Journal

Title: Journal of the American Statistical Association

Abbreviated Title: Journal of the American Statistical Association

Publisher: Informa UK Limited

ISSN (Print): 0162-1459

ISSN (Electronic): 1537-274X

Publication date Created: February 05 2018

Publication date (Electronic): February 05 2018

Pages: 1-14

Affiliations

[1 ] Department of Statistics, University of California Berkeley, Berkeley, CA

[2 ] Institute of Computational and Mathematical Engineering, Stanford University, Cupertino, CA

[3 ] Statistical Science, Duke University, Durham, NC

Article

DOI: 10.1080/01621459.2018.1429274

SO-VID: 3737b089-0b3a-4f5a-b3d9-4446fb7f7d8a

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Communication-Efficient Distributed Statistical Inference

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Scholarly Communication

Most cited references 9

An MCMC approach to classical estimation

On asymptotically optimal confidence regions and tests for high-dimensional models

A scalable bootstrap for massive data

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