登录 注册 会员服务 联系我们

Maximum likelihood estimation for totally positive log‐concave densities

  • Published:2020-09-14 Issue:3 Volume:48 Page:817-844
  • ISSN:0303-6898
  • Container-title:Scandinavian Journal of Statistics
  • language:en
  • Short-container-title:Scand J Statist

Author:

Robeva Elina12ORCID,Sturmfels Bernd34,Tran Ngoc5,Uhler Caroline1

Affiliation:

1. IDSS and EECS Department Massachusetts Institute of Technology USA

2. Department of Mathematics University of British Columbia Canada

3. University of California USA

4. MPI‐MiS Leipzig Max Planck Institute Leipzig Germany

5. Department of Mathematics University of Texas USA

Funder

Alfred P. Sloan Foundation

Division of Mathematical Sciences

Office of Naval Research Global

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference58 articles.

1. Agrawal R. Roy U. &Uhler C.2019.Covariance matrix estimation under total positivity for portfolio selection. arXiv preprint arXiv:1909.04222.

2. Axelrod B. &Valiant G.2018.An efficient algorithm for high‐dimensional log‐concave maximum likelihood. arXiv preprint arXiv:1811.03204.

3. Polynomial interpolation and the Chinese Remainder Theorem for algebraic systems

4. A likelihood ratio test for mtp2 within binary variables;Bartolucci F.;Annals of Statistics,2000

5. A tutorial on kernel density estimation and recent advances

Cited by 4 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. Shape-Constrained Statistical Inference;Annual Review of Statistics and Its Application;2023-10-13

2. Total positivity in multivariate extremes;The Annals of Statistics;2023-06-01

3. An event‐driven fusion framework with auto‐scaling of edge intelligence for resilient smart applications in developing countries;Transactions on Emerging Telecommunications Technologies;2023-05-26

4. Convolutions of totally positive distributions with applications to kernel density estimation;Algebraic Statistics;2022-12-31
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