Linda Zhao
Cited by
Cited by
Learning from crowds.
VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy
Journal of machine learning research 11 (4), 2010
Statistical analysis of a telephone call center: A queueing-science perspective
L Brown, N Gans, A Mandelbaum, A Sakov, H Shen, S Zeltyn, L Zhao
Journal of the American statistical association 100 (469), 36-50, 2005
Valid post-selection inference
R Berk, L Brown, A Buja, K Zhang, L Zhao
The Annals of Statistics, 802-837, 2013
Supervised learning from multiple experts: whom to trust when everyone lies a bit
VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ...
Proceedings of the 26th Annual international conference on machine learning …, 2009
Statistical inference after model selection
R Berk, L Brown, L Zhao
Journal of Quantitative Criminology 26, 217-236, 2010
Bayesian aspects of some nonparametric problems
LH Zhao
Annals of statistics, 532-552, 2000
Models as approximations I
A Buja, L Brown, R Berk, E George, E Pitkin, M Traskin, K Zhang, L Zhao
Statistical Science 34 (4), 523-544, 2019
Fast computation of kernel estimators
VC Raykar, R Duraiswami, LH Zhao
Journal of Computational and Graphical Statistics 19 (1), 205-220, 2010
CCM-3/STRIPAK promotes seamless tube extension through endocytic recycling
B Lant, B Yu, M Goudreault, D Holmyard, JDR Knight, P Xu, L Zhao, ...
Nature communications 6 (1), 1-13, 2015
An autoregressive approach to house price modeling
CH Nagaraja, LD Brown, LH Zhao
A test for the Poisson distribution
LD Brown, LH Zhao
Sankhyā: The Indian Journal of Statistics, Series A, 611-625, 2002
Can a tiger change its stripes? Reform of Chinese state-owned enterprises in the penumbra of the state
A Harrison, M Meyer, P Wang, L Zhao, M Zhao
National Bureau of Economic Research, 2019
The root–unroot algorithm for density estimation as implemented via wavelet block thresholding
L Brown, T Cai, R Zhang, L Zhao, H Zhou
Probability theory and related fields 146, 401-433, 2010
Superefficiency in nonparametric function estimation
LD Brown, MG Low, LH Zhao
The Annals of Statistics 25 (6), 2607-2625, 1997
Free-knot polynomial splines with confidence intervals
W Mao, LH Zhao
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003
Semi-supervised linear regression
D Azriel, LD Brown, M Sklar, R Berk, A Buja, L Zhao
Journal of the American Statistical Association 117 (540), 2238-2251, 2022
Models as approximations II
A Buja, L Brown, AK Kuchibhotla, R Berk, E George, L Zhao
Statistical Science 34 (4), 545-565, 2019
Covariance adjustments for the analysis of randomized field experiments
R Berk, E Pitkin, L Brown, A Buja, E George, L Zhao
Evaluation review 37 (3-4), 170-196, 2013
Misspecified mean function regression: Making good use of regression models that are wrong
R Berk, L Brown, A Buja, E George, E Pitkin, K Zhang, L Zhao
Sociological Methods & Research 43 (3), 422-451, 2014
Models as approximations, part I: A conspiracy of nonlinearity and random regressors in linear regression
A Buja, R Berk, L Brown, E George, E Pitkin, M Traskin, K Zhan, L Zhao
arXiv preprint arXiv:1404.1578, 2014
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