Zhao, L. H. (1997)
Minimax linear estimation in a white noise problem
The Annals of Statistics, 25, 745--755
Brown, L. D., Low, M. and Zhao, L. H. (1997)
Superefficiency in nonparametric function estimation
The Annals of Statistics, 25, 2607--2625
Zhao, L. H. (1999)
Improved estimators in nonparametric regression problems
Journal of the American Statistical Association, 94, 164--173
Zhao, L. H. (2000)
Bayesian aspects of some nonparametric problems
The Annals of Statistics, 28, 532--552
Brown, L. D. and Zhao, L. H. (2002)
A test for the Poisson distribution
Sankhya, Series A, 611-625
Li, X. and Zhao, L. H. (2002)
Bayesian nonparametric point estimation under a conjugate prior
Statistics and Probability Letters, 58, 23-30
Wang, W. and Zhao, L. H. (2003)
Nonparametric tests for the mean of a non-negative population
Journal of Statistical Planning and Inference, 110, 75-96
Mao, V. and Zhao, L. H. (2003)
Free knot polynomial splines with confidence intervals
Journal of the Royal Statistical Society, Series B, 65, 901-919
Brown, L. D., Wang, Y. and Zhao, L. H. (2003)
Statistical equivalence at suitable frequencies of GARCH and stochastic volatility models with the corresponding diffusion model
Statistica Sinica, 993-1013
Brown, L. D., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S. and Zhao, L. H. (2005)
Empirical analysis of a telephone call center
Journal of the American Statistical Association, 100, 36-50
Cai, T., Low, M. and Zhao, L.H. (2007)
Trade-offs between global and local risks in nonparametric function estimation
Bernoulli, 13, 1-19
Brown, L. D. and Zhao, L. H. (2009)
Estimators for Gaussian Models Having a Block-wise Structure
Statistica Sinica, 19, 885-903
Raykar, V., Yu, S., Zhao, L., Jerebko, A., Florin, C., Valadez, G., Bogoni, L. and Moy, L. (2009)
Supervised learning from multiple experts: whom to trust when everyone lies a bit
Proceedings of the 26th International Conference on Machine Learning (ICML), 889-896
Cai, T., Low, M. and Zhao, L. H. (2009)
Sharp adaptive estimation by a blockwise method
Journal of Nonparametric Statistics, 21, 839-850
Berk, R., Brown, L.B. and Zhao, L. (2010)
Statistical inference after model selection
Journal of Quantitative Criminology, 26, 217-236
Raykar, V., Yu, S., Zhao, L., .Valadez, G., Florin, C., Bogoni, L. and Moy, L. (2010)
Learning from crowds
Journal of Machine Learning Research, 11, 1297-1322
Brown, L. D., Cai, T., Zhang, R., Zhou, H. and Zhao, L. H. (2010)
The root-unroot algorithm for density estimation as implemented via wavelet block thresholding
Probability Theory and Related Field, 146, 401-433
Raykar, V., Duraiswami, R. and Zhao, L. (2010)
Fast computation of kernel estimators
Journal of Computational and Graphical Statistics, 19, 205-220.
Raykar, V. and Zhao, L. (2010)
Nonparametric prior for adaptive sparsity
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: 629-636
Brown, L., Fu, X. and Zhao, L. (2010)
A new Bayesian procedure for nonparametric regression estimation and pointwise confidence band
to appear in Journal of Nonparametric Statistics
Raykar, V. and Zhao, L. (2011)
Empirical Bayesian thresholding for sparse signals using mixture loss functions
Statistica Sinica, 21, 124-149.

Nagaraja, C. H., Brown, L.D. and Zhao, L. (2011)
An autoregressive approach to house price modeling
The Annals of Applied Statistics, 41, 124-149.

Brown, L.D. and Zhao, L. (2012)
A geometrical explanation of Stein shrinkage
Statistical Science , 24-30.

Berk, R., Brown, L.D., Buja, A., Zhang, K. and Zhao, L. H. (2013)
Valid post-selection inference
The Annals of Statistics, 41 , 802-837.

Berk, R., Brown, L., Buja, A., George, E., Pitkin, E., Traskin, M., Zhang, K. and Zhao, L. H. (2013)
What You Can Learn From Wrong Causal Models
Handbook of Causal Analysis for Social Research , S. Morgan, ed., New York: Springer, 403-424.

Berk, R., Pitkin, E., Brown, L., Buja, A., George, E. and Zhao. L.  (2013)
Covariance Adjustments for the Analysis of Randomized Field Experiments
Evaluation Review

Berk, R., Brown, L., Buja, A., George, E., Pitkin, E., Zhang, K. and Zhao, L. H. (2013)
Misspecified mean function regression: making good use of regression models that are wrong
Sociological Methods and Research

Brown, L., Fuki, I., Han, X., and Zhao, L. H. (2013)
Hunting for significance: Bayesian classifiers under a mixture loss function forthcoming
Journal of Statistical Planning and Inference

Zhang, K., Brown, L., Buja, A., George, E. and Zhao, L. H. (2014)
Uniform correlation mixture of bivariate normal distributions and hypercubically-contoured densities that are marginally normal
American Statistician

McCarthy, D., Zhang, K., Brown, L. D., Berk, R., Buja, A., George, E., and Zhao, L. (2016)
Calibrated Percentile Double Bootstrap for Robust Linear Regression Inference, submitted and accepted
Statistica Sinica

Pitkin, E., Berk, R., Brown, L., Buja, A., George, E., Zhang, K. and Zhao, L. H. (2017)
Improved precision in estimating average treatment effects in randomized trials
Under revision.

Buja, A., Berk, R., Brown, L.D., George, E., Pitkin, E., Traskin, M., Zhang, K., Zhao, L., (2017)
Models as Approximations - A Conspiracy of Random Predictors and Model Violations Against Classical Inference in Regression
Statistical Science

Buja, A., Berk, R., Brown, L.D., George, E., Kuchibhotla, A. and Zhao, L., (2017)
A General Theory of Model-Robust Regression
Statistical Science

Berk, R., Buja, A., Brown, L., George, E., Kuchibhotla, A., Su, W.J. and Zhao, L. (2018)
Assumption Lean Regression
The American Statistician

Azriel, D., Brown, L., Sklar, M., Berk, R., Buja, A. and Zhao, L. (2017)
Semi-Supervised linear regression
Submitted.

Kuchibhotla, A.K., Brown, L., Buja, A., George, E. and Zhao, L. (2017)
A Model Free Perspective for Linear Regression: Uniform-in-model Bounds for Post Selection Inference
Submitted.

Kuchibhotla, A.K., Brown, L., Buja, A., Berk, R., Zhao, L. and George, E. (2018)
Valid Post-selection Inference in Assumption-lean Linear Regression
Submitted.