Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

Published:2023-01-01 Issue:-1 Volume:-1 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Lee Kyoungjae¹,You Kisung²,Lin Lizhen³

Affiliation:

1. Department of Statistics, Sungkyunkwan University, Seoul 03063, South Korea

2. Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06510, USA

3. Department of Applied and Computational Mathematics and Statistics, The University of Notre Dame, Notre Dame, IN 46556, USA

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Reference23 articles.

1. Jeffreys, H. (1998). The theory of probability. OUP Oxford.

2. Cai, T., Liu, W., and Xia, Y. (2013). “Two-sample covariance matrix testing and support recovery in high-dimensional and sparse settings.” Journal of the American Statistical Association, 108(501): 265–277.

3. Bai, Z. and Saranadasa, H. (1996). “Effect of high dimension: by an example of a two sample problem.” Statistica Sinica, 311–329.

4. Cai, T. T., Liu, W., and Xia, Y. (2014). “Two-sample test of high dimensional means under dependence.” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(2): 349–372.

5. Cao, Y., Lin, W., and Li, H. (2018). “Two-sample tests of high-dimensional means for compositional data.” Biometrika, 105(1): 115–132.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clustered Federated Learning via Generalized Total Variation Minimization;IEEE Transactions on Signal Processing;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3