Yinchu zhu

"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)

Bachelor of Management, Accounting, Zhongnan University of Economics and Law, China. Dr. Zhu is currently an Assistant Professor at Lundquist College of Business at the University of Oregon. Oct 30, 2019 · Yinchu Zhu. University of Oregon. Date Written: October 30, 2019. Abstract.

28.01.2021

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. March 5 Tony Sit (Chinese University of Hong Kong), Censored quantile regression with time varying covariates via Zoom at LSE Econometrics and Statistics. 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 (with Yinchu Zhu) 14.

(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

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06/05/2020 ∙ by Yinchu Zhu, et al. ∙ 0 ∙ share read it. Are you a researcher? Expose your work to one of the largest A.I. communities in the world. Add your research. Get the week's most popular data science research in your inbox - every Saturday. Subscribe. Trending Research

He also holds master’s degrees in finance and applied mathematics and a bachelor’s degree in accounting. Bradic, Jelena, Stefan Wager, and Yinchu Zhu. Sparsity Double Robust Inference of Average Treatment Effects. Cui, Yifan, Michael Kosorok, Erik Sverdrup, Stefan Wager, and Ruoqing Zhu. Estimating Heterogeneous Treatment Effects with Right-Censored Data via Causal Survival Forests.

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 (with Yinchu Zhu) 14.

However, such a requirement might not be valid in many real-life applications. In this article, we are interested in conducting large-scale inference in models that might Streptococcus agalactiae (group B streptococcus [GBS]) has received continuous attention for its involvement in invasive infections and its broad host range. Transcriptional regulators have an important impact on bacterial adaptation to various environments. Research on transcriptional regulators will shed new light on GBS pathogenesis.

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. A recent successful literature derives non-parametric time-varying lower bounds on the risk 1 . YINCHU ZHU. Academic Appointment .

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. Thursday, 4 March 2021 15:00 to 16:15: Dr. Yinchu Zhu from Brandeis University: Virtual seminar Read Yinchu Zhu's latest research, browse their coauthor's research, and play around with their algorithms 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 Yinchu Zhu. Ph.D., Management, Rady School of Management, UC San Diego. M.S., Finance, Bocconi University, Italy. Bachelor of Management, Accounting, Zhongnan University of Economics and Law, China. Dr. Zhu is currently an Assistant Professor at Lundquist College of Business at the University of Oregon. Oct 30, 2019 · Yinchu Zhu. University of Oregon. Date Written: October 30, 2019.

Yinchu Zhu - Assistant Professor at University of Oregon. My main research area is theory and methodology in econometrics, statistics and machine learning. Yinchu Zhu is an assistant professor in the Department of Economics and the International Business School. His research focuses on econometrics, statistics and machine learning.

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Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data. Chernozhukov, Victor; ;; Wuthrich, Kaspar; ;; Zhu, Yinchu

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.