Rejoinder

Jianqing Fan; Xu Han; Weijie Gu

doi:10.1080/01621459.2012.720911

Rejoinder

Jianqing Fan, Xu Han, Weijie Gu

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	1046-1048
Number of pages	3
Journal	Journal of the American Statistical Association
Volume	107
Issue number	499
DOIs	https://doi.org/10.1080/01621459.2012.720911
State	Published - 2012
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1080/01621459.2012.720911

Cite this

@article{d7271a09a41740a28fd4a22fe67864b8,

title = "Rejoinder",

author = "Jianqing Fan and Xu Han and Weijie Gu",

note = "Funding Information: Jianqing Fan is Frederick L. Moore{\textquoteright}18 professor, Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ 08544, and honorary professor, School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China (E-mail: [email protected]). Xu Han is assistant professor, Department of Statistics, Fox Business School, Temple University, Philadelphia, PA 19122 (E-mail: [email protected]). Weijie Gu is graduate student, Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ 08544 (E-mail: [email protected]). The article was completed while Xu Han was a postdoctoral fellow at Princeton University. This research was partly supported by National Science Foundation NSF grants DMS-0704337 and DMS-1206464 and National Institutes of Health (NIH) grant R01-GM072611. We would like to thank the editors Leonard A. Stefanski and Xuming He for organizing this stimulating discussion, with a conscientious effort to invite outstanding researchers from diverse backgrounds that make the discussion more thought-provoking. We are also very grateful to all discussants (Aurore Delaigle, Peter Hall, Ji-ashun Jin, Armin Schwartzman, and Larry Wasserman) for their insightful and stimulating comments, touching practical, methodological, and philosophical aspects of large-scale hypothesis testing problems, and offering deep insights to the problem. Their contributions are very timely and helpful. We treasure the opportunity to respond the questions raised by the discussants.",

year = "2012",

doi = "10.1080/01621459.2012.720911",

language = "English (US)",

volume = "107",

pages = "1046--1048",

journal = "Journal of the American Statistical Association",

issn = "0162-1459",

publisher = "Taylor and Francis Ltd.",

number = "499",

}

TY - JOUR

T1 - Rejoinder

AU - Fan, Jianqing

AU - Han, Xu

AU - Gu, Weijie

N1 - Funding Information: Jianqing Fan is Frederick L. Moore’18 professor, Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ 08544, and honorary professor, School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China (E-mail: [email protected]). Xu Han is assistant professor, Department of Statistics, Fox Business School, Temple University, Philadelphia, PA 19122 (E-mail: [email protected]). Weijie Gu is graduate student, Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ 08544 (E-mail: [email protected]). The article was completed while Xu Han was a postdoctoral fellow at Princeton University. This research was partly supported by National Science Foundation NSF grants DMS-0704337 and DMS-1206464 and National Institutes of Health (NIH) grant R01-GM072611. We would like to thank the editors Leonard A. Stefanski and Xuming He for organizing this stimulating discussion, with a conscientious effort to invite outstanding researchers from diverse backgrounds that make the discussion more thought-provoking. We are also very grateful to all discussants (Aurore Delaigle, Peter Hall, Ji-ashun Jin, Armin Schwartzman, and Larry Wasserman) for their insightful and stimulating comments, touching practical, methodological, and philosophical aspects of large-scale hypothesis testing problems, and offering deep insights to the problem. Their contributions are very timely and helpful. We treasure the opportunity to respond the questions raised by the discussants.

PY - 2012

Y1 - 2012

UR - http://www.scopus.com/inward/record.url?scp=84870720034&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870720034&partnerID=8YFLogxK

U2 - 10.1080/01621459.2012.720911

DO - 10.1080/01621459.2012.720911

M3 - Article

AN - SCOPUS:84870720034

SN - 0162-1459

VL - 107

SP - 1046

EP - 1048

JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

IS - 499

ER -

Rejoinder

All Science Journal Classification (ASJC) codes

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