Kai Zhang
Kai Zhang
Department of Statistics and Operations Research, UNC Chapel Hill
Verified email at email.unc.edu - Homepage
Cited by
Cited by
Valid post-selection inference
R Berk, L Brown, A Buja, K Zhang, L Zhao
The Annals of Statistics 41 (2), 802-837, 2013
Effectiveness and efficiency of a CAD/CAM orthodontic bracket system
MW Brown, L Koroluk, CC Ko, K Zhang, M Chen, T Nguyen
American Journal of Orthodontics and Dentofacial Orthopedics 148 (6), 1067-1074, 2015
Using split samples and evidence factors in an observational study of neonatal outcomes
K Zhang, DS Small, S Lorch, S Srinivas, PR Rosenbaum
Journal of the American Statistical Association 106 (494), 511-524, 2011
Scoring and shooting abilities of NBA players
J Piette, S Anand, K Zhang
Journal of Quantitative Analysis in Sports 6 (1), 2010
Models as approximations-a conspiracy of random regressors and model deviations against classical inference in regression
A Buja, RA Berk, LD Brown, EI George, E Pitkin, M Traskin, L Zhao, ...
Statistical Science, 1, 2015
Limiting distribution of decoherent quantum random walks
K Zhang
Physical Review A 77 (6), 062302, 2008
Models as approximations I: Consequences illustrated with linear regression
A Buja, L Brown, R Berk, E George, E Pitkin, M Traskin, K Zhang, L Zhao
Statistical Science 34 (4), 523-544, 2019
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 e-prints 1404, 2014
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
JIVE integration of imaging and behavioral data
Q Yu, BB Risk, K Zhang, JS Marron
NeuroImage 152, 38-49, 2017
Confidence intervals and regions for the lasso by using stochastic variational inequality techniques in optimization
S Lu, Y Liu, L Yin, K Zhang
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
Comment: The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation
K Zhang, DS Small
Statistical Science 24 (1), 59-64, 2009
BET on Independence
K Zhang
Journal of the American Statistical Association 114 (528), 1620-1637, 2019
Spherical cap packing asymptotics and rank-extreme detection
K Zhang
IEEE Transactions on Information Theory 63 (7), 4572-4584, 2017
Models as approximations—Part II: A general theory of model-robust regression
A Buja, R Berk, L Brown, E George, AK Kuchibhotla, L Zhao, K Zhang
arXiv preprint ArXiv:1612.03257 139, 2016
A powerful and robust test statistic for randomization inference in group‐randomized trials with matched pairs of groups
K Zhang, M Traskin, DS Small
Biometrics 68 (1), 75-84, 2012
A path integral formula with applications to quantum random walks in Zd
WS Yang, C Liu, K Zhang
Journal of Physics A: Mathematical and Theoretical 40 (29), 8487, 2007
Calibrated percentile double bootstrap for robust linear regression inference
D McCarthy, K Zhang, LD Brown, R Berk, A Buja, EI George, L Zhao
Statistica Sinica 28 (4), 2565-2589, 2018
A conspiracy of random X and model violation against classical inference in linear regression
A Buja, R Berk, L Brown, E George, M Traskin, K Zhang, L Zhao
Working Paper, Department of Statistics, University of Pennsylvania …, 2013
What you can learn from wrong causal models
RA Berk, L Brown, E George, E Pitkin, M Traskin, K Zhang, L Zhao
Handbook of causal analysis for social research, 403-424, 2013
The system can't perform the operation now. Try again later.
Articles 1–20