Yinchu zhu

with Yinchu Zhu, TEST (2017), 26(4), p.720-728. Arxiv. Uniform inference for high-dimensional quantile process: linear testing and regression rank scores. Hypothesis tests in models whose dimension far exceeds the sample size can be formulated much like the classical studentized tests only after the initial bias of estimation is removed

Yinchu Zhu. Assistant Professor of Economics, Brandeis University. Verified email at brandeis.edu - Homepage. econometrics statistics machine learning business View Yinchu Zhu’s profile on LinkedIn, the world's largest professional community. Yinchu has 4 jobs listed on their profile. See the complete profile on LinkedIn and discover Yinchu’s Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.

08.03.2021

561-586 ISSN: 0304-4076 Subject: Monte Carlo (Causal Forest) Be Gentle to the Newbies: Heterogeneous Impacts of Negative Feedback in Online Communities (with Yinchu Zhu, Laura Brandimarte, and Dong Jing) Predictive Models (Network Analysis) Personalized Recommendation of Crowd-funding Campaigns: A Bipartite Graph Approach for Sparse Data , Systems Engineering - Theory & Practice , 2017 FREE Background Report. Check Reputation Score for Yinchu Zhu in Eugene, OR - View Criminal & Court Records | Photos | Address, Email & Phone Number | Personal Review | Income & Net Worth Yinchu Zhu. University of Oregon ( email) 1280 University of Oregon Eugene, OR 97403 United States. Download This Paper. Open PDF in Browser View phone numbers, addresses, public records, background check reports and possible arrest records for Yinchu Zhu. Whitepages people search is the most trusted directory. Background Checks 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. Semantic Scholar profile for Yinchu Zhu, with 40 highly influential citations and 50 scientific research papers.

Yinchu Zhu◽ Huan Zhu. Abstract Background Order Chaetophorales currently includes six families, namely Huan Zhu(New Corresponding Author).

∙ 0 ∙ share read it Mixed integer linear programming: a new approach for instrumental variable quantile regressions and related problems Semantic Scholar profile for Yinchu Zhu, with 40 highly influential citations and 50 scientific research papers. 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.

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

Access statistics for papers by Yinchu Zhu. Last updated 2020-09-08. Update your information in the RePEc Author Service. Short-id: pzh927 Jump to Journal Articles Working Papers 2020.

Yinchu has 4 jobs listed on their profile. See the complete profile on LinkedIn Yinchu Zhu: current contact information and listing of economic research of this author provided by RePEc/IDEAS.

Get full address, contact info, background report and more! 415 South Street, Waltham, MA 02453 (781) 736-2252 globaladmissions@brandeis.edu (781) 736-2252 globaladmissions@brandeis.edu "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors" (with Thomas M. Russell) Discussant: Adam Rosen (Duke) Panelists: Wayne Gao (Penn), Florian Gunsilius (Michigan), Sukjin Han (Bristol), Takuya Ura (UC Davis) @inproceedings{Zhu2018SeP2, title={Se p 20 18 k-step correction for mixed integer linear programming : a new approach for instrumental variable quantile regressions and related problems ∗}, author={Yinchu Zhu}, year={2018} } Yinchu Zhu (University of Oregon) “An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls” Dec 5th (Wed.) 2:00pm-3: 50pm/ Oak 337: Rui Sun (UCONN) / Zhonghui Zhang (UCONN) “Bias-Corrected Estimators in the Dynamic Panel Data Model”/”Mahalanobis Metric Based Clustering for Fixed Effects Model” Sep 14, 2020 · The Federal Reserve Board of Governors in Washington DC. conference. September 2019. European Seminar on Bayesian Econometrics. Forecasting Panel Data with Structural Breaks and Regime-specific Grouped Heterogeneity 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.

Facebook gives people the power to share An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls Victor Chernozhukov, Kaspar Wuthrich, Yinchu Zhu We introduce new inference procedures for counterfactual and synthetic control methods for policy evaluation. (Causal Forest) Be Gentle to the Newbies: Heterogeneous Impacts of Negative Feedback in Online Communities (with Yinchu Zhu, Laura Brandimarte, and Dong Jing) Predictive Models (Network Analysis) Personalized Recommendation of Crowd-funding Campaigns: A Bipartite Graph Approach for Sparse Data , Systems Engineering - Theory & Practice , 2017 Yinchu Zhu Assistant Professor of Economics Brandeis University My main research area is theory and methodology in econometrics, statistics and Yinchu Zhu is an assistant professor in the Department of Economics and the International Business School. His research focuses on econometrics, statistics and An exact and robust conformal inference method for counterfactual and synthetic controls. V Chernozhukov, K Wuthrich, Y Zhu. arXiv preprint arXiv:1712.09089, View Yinchu Zhu's profile on LinkedIn, the world's largest professional community . Yinchu has 4 jobs listed on their profile. See the complete profile on LinkedIn Yinchu Zhu: current contact information and listing of economic research of this author provided by RePEc/IDEAS.

J. Statist. 12(2): 3312-3364 (2018). DOI: 10.1214/18-EJS1443. ABOUT REFERENCES FIRST PAGE CITED BY DOWNLOAD PAPER SAVE TO MY LIBRARY .

Ph.D., Economics, Department of Economics, UC San Diego As a doctoral student, he worked with Rady Faculty: Prof. Allan Timmermann (co-Chair of Committee) and Prof. Rossen Valkanov.. Dr. Farmer is currently an Assistant Professor of Economics - Department of Economics, University of Virginia (2017 - ). Dr. Yinchu Zhu from Brandeis University: Virtual seminar : Quantitative Research in Financial Economics virtual seminar Title: How well can we learn large factor models without assuming strong factors? Abstract: In this paper, we consider the problem of learning models with a latent factor structure. The focus is to find what is possible and (Causal Forest) Be Gentle to the Newbies: Heterogeneous Impacts of Negative Feedback in Online Communities (with Yinchu Zhu, Laura Brandimarte, and Dong Jing) Predictive Models (Network Analysis) Personalized Recommendation of Crowd-funding … Yinchu Zhu's 20 research works with 57 citations and 641 reads, including: YSIRK-G/S-directed translocation is required for Streptococcus suis to deliver diverse cell wall anchoring effectors Semantic Scholar profile for Yinchu Zhu, with 1 highly influential citations and 4 scientific research papers.

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Yinchu Zhu. University of Oregon. Date Written: April 16, 2018. Abstract. We develop a Bayesian approach that performs variable selection in panel regression models that are subject to breaks. Our variable selection approach enables deactivation of pervasive regressors and activation of weak regressors for short periods. Allowing the

So investors should rely on the wisdom of the crowd and follow the expert consensus forecast rather than any individual prediction. %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 Aug 01, 2017 · Models with many signals, high-dimensional models, often impose structures on the signal strengths. The common assumption is that only a few signals are strong and most of the signals are zero or close (collectively) to zero. However, such a requirement might not be valid in many real-life applications.

10/30/2019

Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data. Victor Chernozhukov, Kaspar Wüthrich, Zhu Yinchu.

Author links open overlay panelIvanaKomunjer YinchuZhu. Show more. Dec 2, 2020 Zhu,Yinchu , Brandeis University,Assistant Professor:Learning non-smooth models: Instrumental variable quantile regressions and related doi: 10.2217/fmb-2018-0279. Epub 2019 Jan 21. Authors.