Yinchu zhu

Yinchu Zhu Assistant Professor of Economics Brandeis University My main research area is theory and methodology in econometrics, statistics and

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. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.

24.04.2021 Yinchu zhu

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. He had his office hours on wednesday and I would always go to clarify my doubts .He always clarified my doubts patiently and in the most best way possible. His TA was also most helpful.

Oct 30, 2019 · Yinchu Zhu. University of Oregon. Date Written: October 30, 2019. Abstract. To answer this question, we develop new testing methods for identifying superior

Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2019. Yinchu Zhu. We consider high-dimensional panel data models (large cross sections and long time horizons) with interactive fixed effects and allow the covariate/slope coefficients to vary over time Yinchu Zhu. University of Oregon. Date Written: August 31, 2020. Abstract.

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2017 RADY SCHOOL OF MANAGEMENT, UNIVERSITY OF CALIFORNIA, SAN DIEGO 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 Dec 25, 2017 · From: Yinchu Zhu Mon, 25 Dec 2017 15:29:10 UTC (570 KB) Sun, 21 Jan 2018 07:08:30 UTC (393 KB) Tue, 17 Apr 2018 01:11:31 UTC (594 KB) Fri, 5 Oct 2018 06:35:12 UTC (2,383 KB) Wed, 5 Dec 2018 18:13:21 UTC (2,560 KB) Sun, 7 Jul 2019 16:48:07 UTC (883 KB) [v7] Fri, 22 Nov 2019 00:16:51 UTC (381 KB) Yinchu Zhu from the University of Oregon will present "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls" Filed under: Seminars - Econometrics Contact Info Virtual Seminar: Dr. Yinchu Zhu from Brandeis University.

He had his office hours on wednesday and I would always go to clarify my doubts .He always clarified my doubts patiently and in the most best way possible. His TA was also most helpful. yinchuzhu@brandeis.edu My main research area is theory and methodology in econometrics, statistics and machine learning.

I must have done a 1000 good deeds to have got professor zhu as my interactive computer graphics teacher. He had his office hours on wednesday and I would always go to clarify my doubts .He always clarified my doubts patiently and in the most best way possible. His TA was also most helpful. yinchuzhu@brandeis.edu My main research area is theory and methodology in econometrics, statistics and machine learning. Currently, a major focus is high-dimensional models. Applications of my research include big data analysis, causal inference, economics and finance. Yinchu Zhu is an assistant professor in the Department of Economics and the International Business School.

Yinchu Zhu. University of Oregon. Date Written: July 19, 2016. Abstract. We propose a simple but flexible parametric method for estimating multiple conditional quantiles. By construction, the estimated quantiles will satisfy the monotonicity requirement which must hold for any distribution, so, in contrast to many benchmark methods, they are 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 12/27/2019 March 4 Yinchu Zhu (Brandeis University), [no title yet] via Zoom at Durham University, link available soon.

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. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.

4 VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, YUAN LIAO, AND YINCHU ZHU slopes. Studying slope heterogeneity has also been an important topic for panel data. For example, Chamberlain and Hirano (1999) and Pesaran (2006) consider models with coe cients that are not time-varying but are heterogeneous across individuals. Academia.edu is a place to share and follow research. (with Yinchu Zhu) 14.

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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

Facebook gives people the power to share 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 (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.