Yinchu zhu
Author: Zhu, Yinchu, et al. ; Komunjer, Ivana; Show all 2 Author Source: Journal of econometrics 2020 v.218 no.2 pp. 561-586 ISSN: 0304-4076 Subject: Monte Carlo
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Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2019.
%0 Conference Paper %T Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data %A Victor Chernozhukov %A Kaspar Wüthrich %A Zhu Yinchu %B Proceedings of the 31st Conference On Learning Theory %C Proceedings of Machine Learning Research %D 2018 %E Sébastien Bubeck %E Vianney Perchet %E Philippe Rigollet %F pmlr-v75-chernozhukov18a %I PMLR %J
methods. predictive.
Hassan M A Hejair 1 , Yinchu Zhu 2 , Jiale Ma 2 , Yue Zhang 2 , Zihao Pan 2 , Wei Zhang 2 , Huochun Yao 3 Affiliations 1 College of Veterinary Medicine, Nanjing Agricultural University, Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing 210095, China; College of Veterinary Sciences, University of Nyala, Nyala, Sudan.
Assistant Professor of Operations and Business Analytics . Education . 2017 RADY SCHOOL OF MANAGEMENT, UNIVERSITY OF CALIFORNIA, SAN DIEGO 1 YINCHU ZHU Academic Appointment 2020-present BRANDEIS UNIVERSITY Assistant Professor of Economics 2017-2020 LUNDQUIST COLLEGE OF BUSINESS, UNIVERSITY OF OREGON Assistant Professor of Operations and Business Analytics Yinchu Zhu We extend conformal inference to general settings that allow for time series data. Our proposal is developed as a randomization method and accounts for potential serial dependence by Semantic Scholar profile for Yinchu Zhu, with 40 highly influential citations and 50 scientific research papers. Read Yinchu Zhu's latest research, browse their coauthor's research, and play around with their algorithms Yinchu Zhu. Ph.D., Management, Rady School of Management, UC San Diego. M.S., Finance, Bocconi University, Italy.
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Contact Info Department of Economics 403 Total downloads of all papers by Yinchu Zhu. If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Yinchu Zhu. University of Oregon. Date Written: April 16, 2018. Abstract.
View the profiles of professionals named "Yinchu" on LinkedIn. There are 200+ professionals named "Yinchu", who use LinkedIn to exchange information, ideas, and opportunities. Semantic Scholar profile for Yinchu Zhu, with 1 highly influential citations and 4 scientific research papers. Author: Yinchu Zhu ; Search or Start over. Show search tips » Search tips. Exact phrase search: Use quotes, e.g. "integral equations" Wildcard search: Use asterisk, e.g.
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YINCHU ZHU. Academic Appointment . 2017-present LUNDQUIST COLLEGE OF BUSINESS, UNIVERSITY OF OREGON.
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Aug 31, 2020 · Yinchu Zhu. University of Oregon. Date Written: August 31, 2020. Abstract. A recent successful literature derives non-parametric time-varying lower bounds on the risk
第1版. Description: Beijing : Hua wen chu ban she, 1999 北京 : 华文出版社, 1999 2, 2, 9, 358 pages, [4] pages of plates : illustrations ; 21 cm. ISBN: 7507507513: Series "Tong yi zhan xian ren wu zhuan ji" cong shu The best in georgia state university . I must have done a 1000 good deeds to have got professor zhu as my interactive computer graphics teacher.
12 Nov 2019 Yinchu Zhu. University of Oregon. Date Written: October 30, 2019. Abstract. To answer this question, we develop new testing methods for
Germany), Workshop Machine Learning and Causal Zhu-Yin CHU, Professor (Associate) | Cited by 3126 | of Chinese Academy of Sciences, Beijing (CAS) | Read 78 publications | Contact Zhu-Yin CHU. Date: December 25, 2018. 1. Page 3. 2. VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, YUAN LIAO, AND YINCHU ZHU. 1.
Our proposal is … 18/09/2020 Bradic, Jelena, Stefan Wager, and Yinchu Zhu. Sparsity Double Robust Inference of Average Treatment Effects.