← All authors Linda Zhao University of Hong Kong (from arXiv:2111.12921, 2021) · ORCID · OpenAlex
40 papers in scope · 40 published · 1 on the econ.EM arXiv · 3,435 citations · h-index 19 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Jerome R. Simons Yong Cai Imran Rasul Pedro H. G. Ferreira de Souza Áureo de Paula Wu Zhu Haipeng Shen Junhui Cai Hanbat Jeong Stephen Hall George S. Tavlas Deborah Gefang Susanne Ditlevsen Christian Holberg Clemens Possnig Andreea Rotărescu Huang Chen Vasilis Sarafidis Connor Dowd Yutao Sun Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 40)
Up the political ladder: The role of political networks
published 2026 · Journal of Financial Stability · first circulated 2025
with Xian Gu, Iftekhar Hasan, Bingzhi Zhang, Yun Zhu, B Zhang
published 2026 · Journal of the American Statistical Association · 1 citations · first circulated 2021
Can a tiger change its stripes? Reform of Chinese state-owned enterprises in the penumbra of the state
published 2025 · 74 citations · first circulated 2019
with Ann Harrison, Peichun Wang, Minyuan Zhao, Marshall W. Meyer
Uneven Mixing, Network Segregation, and Immigrant Integration
published 2025 · American Sociological Review · 1 citations
Junhui Cai, Dan Yang, Linda Zhao and Wu Zhu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
published 2023 · Management Science · 3 citations
Andreas Buja, Richard A. Berk, Arun K. Kuchibhotla, Linda Zhao and Ed George’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes
published 2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK
published 2021 · Econometric Theory · 3 citations · first circulated 2018
Network Diffusion Under Homophily and Consolidation as a Mechanism for Social Inequality
published 2021 · Sociological Methods & Research · 73 citations
with Filiz Garip
Semi-Supervised Linear Regression
published 2021 · Journal of the American Statistical Association · 36 citations · first circulated 2016
with David Azriel, Lawrence D. Brown, Michael Sklar, Richard A. Berk, Andreas Buja
Valid post-selection inference in model-free linear regression
published 2020 · The Annals of Statistics · 29 citations
Models as Approximations—Rejoinder
published 2019 · Statistical Science · 4 citations
Models as Approximations II: A Model-Free Theory of Parametric Regression
published 2019 · Statistical Science · 48 citations · first circulated 2016
Models as Approximations I: Consequences Illustrated with Linear Regression
published 2019 · Statistical Science · 19 citations · first circulated 2014
with Andreas Buja, Lawrence Brown, Richard A. Berk, Edward I. George, Emil Pitkin, Mikhail Traskin, Kai Zhang
Assumption Lean Regression
published 2019 · The American Statistician · 19 citations · first circulated 2018
The Effect of Medication Choice After Tumor Necrosis Factor Inhibitor (TNFI) use on the Healthcare Costs for Patients with Rheumatoid Arthritis: An Instrumental Variables Approach
published 2018 · Value in Health
with A Shahabi, Jason Shafrin, S Green, Alexander Marshall, Tammy G. Curtice, Damemarie Paul
Calibrated Percentile Double Bootstrap For Robust Linear Regression Inference
published 2017 · Statistica Sinica · 6 citations · first circulated 2015
with Kai Zhang, Daniel McCarthy, Brown Lawrence, Richard A. Berk, Andreas Bujas, Edward I. George, Lawrence Brown, Andreas Buja
Reply to Lin
published 2014 · Evaluation Review
with Richard A. Berk, Emil Pitkin, Lawrence Brown, Andreas Buja, Edward I. George
Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically Contoured Densities That Are Marginally Normal
published 2014 · The American Statistician · 4 citations
with Kai Zhang, Lawrence D. Brown, Edward I. George, Zhang Kai
Misspecified Mean Function Regression
published 2014 · Sociological Methods & Research · 27 citations
with Richard A. Berk, Lawrence Brown, Andreas Buja, Edward I. George, Emil Pitkin, Kai Zhang
Hunting for significance: Bayesian classifiers under a mixture loss function
published 2014 · Journal of Statistical Planning and Inference
with Igar Fuki, Lawrence Brown, Xu Han
Covariance Adjustments for the Analysis of Randomized Field Experiments
published 2013 · Evaluation Review · 44 citations
with Richard A. Berk, Emil Pitkin, Lawrence Brown, Andreas Buja, Edward I. George
Valid post-selection inference
published 2013 · The Annals of Statistics · 613 citations
A Geometrical Explanation of Stein Shrinkage
published 2012 · Statistical Science · 17 citations
with Lawrence D. Brown
An autoregressive approach to house price modeling
published 2011 · The Annals of Applied Statistics · 73 citations
with Chaitra H. Nagaraja, Lawrence D. Brown
Confidence intervals for nonparametric regression
published 2010 · Journal of nonparametric statistics · 2 citations
with Lawrence D. Brown, Xin Fu
Learning From Crowds
published 2010 · Journal of Machine Learning Research · 1011 citations
with Vikas C. Raykar, Shipeng Yu, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy
Fast Computation of Kernel Estimators
published 2010 · Journal of Computational and Graphical Statistics · 88 citations
with Vikas C. Raykar, Ramani Duraiswami
Statistical Inference After Model Selection
published 2009 · Journal of Quantitative Criminology · 93 citations
with Richard A. Berk, Lawrence Brown
Sharp adaptive estimation by a blockwise method
published 2009 · Journal of nonparametric statistics · 16 citations
with Tommaso Cai, Mark G. Low
The root–unroot algorithm for density estimation as implemented via wavelet block thresholding
published 2009 · Probability Theory and Related Fields · 71 citations
with Lawrence Brown, Tommaso Cai, Ren Zhang, Harrison H. Zhou
Trade-offs between global and local risks in nonparametric function estimation
published 2007 · Bernoulli · 12 citations
with Tommaso Cai, Mark G. Low
Statistical Analysis of a Telephone Call Center
published 2005 · Journal of the American Statistical Association · 836 citations
with Lawrence Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, Haipeng Shen, Sergey Zeltyn
Free-Knot Polynomial Splines with Confidence Intervals
published 2003 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 42 citations
with Wenxin Mao
Nonparametric tests for the mean of a non-negative population
published 2002 · Journal of Statistical Planning and Inference
with Weizhen Wang
Bayesian nonparametric point estimation under a conjugate prior
published 2002 · Statistics & Probability Letters · 5 citations
with Xuefeng Li
Bayesian aspects of some nonparametric problems
published 2000 · The Annals of Statistics · 99 citations
Improved Estimators in Nonparametric Regression Problems
published 1999 · Journal of the American Statistical Association · 3 citations
Superefficiency in nonparametric function estimation
published 1997 · The Annals of Statistics · 52 citations
with Lawrence D. Brown, Mark G. Low
Minimax linear estimation in a white noise problem
published 1997 · The Annals of Statistics · 11 citations
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).