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 -