English Publication
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2019
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Gao, Z., Ma, Y.,
Wang, H., and Yao, Q.
Banded spatio-temporal autoregressions,
Journal of Econometrics, 208(1): 211-230.
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Zhu, X., Chang, X., Li, R., and
Wang, H.
Portal nodes screening for large scale social networks,
Journal of Econometrics, To appear.
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Chen, Y., Pan, R., Guan, R., and
Wang, H.
Analyzing Beijing point of interest data using group linked cox process,
Statistics and Its Interface, To appear.
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Zhu, X., Huang, D., Pan, R., and
Wang, H.
Multivariate spatial autoregression for large scale social networks,
Journal of Econometrics, To appear.
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Zhang, X., Pan, R., Guan, G., Zhu, X., and
Wang, H.
Network logistic regression model,
Statistica Sinica, To appear.
-
Xu, K., Wang, J., Pan, R., and
Wang, H.
Photographic diary: A new estimation approach to pm2.5 monitoring,
Statistics and Its Interface, To appear.
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Sun, L., Zheng, X., Jin, Y., Jiang, M., and
Wang, H.
Estimating promotion effects using big data: A partially profiled LASSO model with endogeneity correction,
Decision Sciences, To appear.
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Zhou, J., Zhou, J., Ding, Y., and
Wang, H.
The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms,
Electronic Commerce Research and Applications, To appear.
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Zhou, J., Li, D., Pan, R., and
Wang, H.
Network GARCH model,
Statistica Sinica, To appear.
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Sun, Z.,
Wang, H.
Network imputation for spatial autoregression model with incomplete Data,
Statistica Sinica, To appear.
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Ma, Y., Pan, R., Zou, T., and
Wang, H.
A naive least squares method for spatial autoregression with covariates,
Statistica Sinica, To appear.
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Zhu, X., Wang, W.,
Wang, H., and Wolfgang Karl Hardle
Network quantile autoregression,
Journal of Econometrics, To appear.
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Chang, X., Huang, D., and
Wang, H.
A popularity scaled latent space model for large-scale directed social network,
Statistica Sinica, To appear.
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2018
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Lan, W., Fang, Z.,
Wang, H., and Tsai, C. L. (2018),
Covariance matrix estimation via network structure,
Journal of Business and Economics Statistics, 36(2): 359-369.
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Huang, M., Wang, S.,
Wang, H., and Jin, T. (2018),
Maximum smoothed likelihood estimation for a class of semiparametric pareto mixture densities,
Statistics and Its Interface, 11(1):31-40.
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Xu, K., Sun, J., Liu, J., and
Wang, H. (2018),
An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective,
Plos One, 13(6):e0198605.
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Pan, R., Guan, R., Zhu, X., and
Wang, H. (2018),
A latent moving average model for network regression,
Statistics and Its Interface, 11(4): 641-648.
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Huang, D., Guan, G., Zhou, J., and
Wang, H. (2018),
Network-based naive Bayes model for social network,
Science China Mathematics, 61 (4): 627-640.
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Zhou, J., Huang, D., and
Wang, H. (2018),
A note on estimating network dependence in a discrete choice model,
Statistics and its Interface, 11(3): 433-439.
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Huang, D., Chang, X., and
Wang, H. (2018),
Spatial autoregression with repeated measurements for social networks,
Communications in Statistics - Theory and Methods, 47(15): 3715-3727.
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Huang, D., Zhou, J., and
Wang, H. (2018),
RFMS method for credit scoring based on bank card transaction data,
Statistica Sinica, 28(4): 2903-2919.
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Huang, M., Wang, S.,
Wang, H., and Jin, T. (2018),
Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities,
Statistics and Its Interface, 11(1), 31-40.
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Cai, W., Guan, G., Pan, R., Zhu, X., and
Wang, H. (2018),
Network linear discriminant analysis,
Computational Statistics and Data Analysis, 117: 32-44.
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Lan, W., Ma, Y., Zhao, J.,
Wang, H., and Tsai, C. L. (2018),
Sequential model averaging for high dimensional linear regression models,
Statistica Sinica, 28(1): 449-469.
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2017
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Zhou, J., Huang, D., and
Wang, H. (2017),
A Dynamic Logistic Regression for Network Link Prediction,
Science China Mathematics, 60(1): 165-176.
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Zhou, J., Tu, Y., Chen, Y., and
Wang, H. (2017),
Estimating spatial autocorrelation with sampled network data,
Journal of Business & Economic Statistics, 35(1): 130-138.
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Zhu, X., Pan, R., Li, G., Liu, Y.,
Wang, H.,et al. (2017),
Network vector autoregression,
The Annals of Statistics, 45(3): 1096-1123.
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Zou, T., Lan, W.,
Wang, H., and Tsai, C. L. (2017),
Covariance regression analysis,
Journal of the American Statistical Association, 112(517): 266-281.
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2016
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Huang, D., Yin, J., Shi, T., and
Wang, H. (2016),
A statistical model for social network labeling,
Journal of Business and Economics Statistics, 34(3): 368-374.
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Yan, T., Qin, H., and
Wang, H. (2016),
Asymptotics in undirected random graph models parameterized by the strengths of vertices,
Statistica Sinica, 26(1): 273-293.
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Pan, R.,
Wang, H., and Li, R. (2016),
Ultrahigh dimensional multi-class linear discriminant analysis by pairwise sure independence screening,
Journal of the American Statistical Association, 111(513): 169-179.
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Lan, W., Zhong, P. S., Li, R.,
Wang, H., and Tsai, C. L.(2016),
Testing a single regression coefficient in high dimensional model,
Journal of Econometrics, 195(1): 154-168.
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2015
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Zhu, X., Huang, D., Pan, R., and
Wang, H. (2015),
An EM algorithm for click fraud detection,
Statistics and its Interface, 9(3): 389-394.
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Lu, X., Zhao, J., Chen, Y., and
Wang, H. (2015),
A choice model with a diverging choice set for POI data analysis,
Statistics and its Interface, 9(3): 355-363.
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Pan, R.,
Wang, H. (2015),
A note on testing conditional independence for social network analysis,
Science China: Mathematics, 58(6), 1179-1190.
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Ma, Y., Lan, W., and
Wang, H.
Testing predictor significance with ultra high dimensional multivariate responses,
Computational Statistics and Data Analysis, 83: 275-286.
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Lan, W., Luo, R., Tsai, C.L.,
Wang, H., and Yang, Y. (2015),
Testing the diagonality of a large covariance matrix in a regression setting,
Journal of Business and Economics Statistics, 33(1): 76-86.
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Ma, Y., Lan, W., and
Wang, H. (2015),
A high dimensional two sample test under a low dimensional structure,
Journal of Multivariate Analysis, 140: 162-170.
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2014
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Huang, D., Li, R., and
Wang, H. (2014),
Feature screening for ultrahigh dimensional categorical data with applications,
Journal of Business and Economics Statistics, 32(2): 237-244.
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Huang, M., Li, R.,
Wang, H., and Yao, W. (2014),
Estimating mixture of gaussian processes by kernel smoothing,
Journal of Business and Economics Statistics, 32(2): 259-270.
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Lan, W.,
Wang, H., and Tsai, C.L. (2014),
Testing covariates in high dimensional regression,
Annals of Institute of Statistical Mathematics, 66(2): 279-301.
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Guan, G., Guo, J., and
Wang, H. (2014),
Varying naive Bayes models with application to classification of Chinese text documents
,
32(3): 445-456.
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2013
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Zhao, J., Leng, C., Li, L., and
Wang, H. (2013),
High dimensional influence measure,
The Annals of Statistics, 41(5): 2639-2667.
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Zhang, Q., Li, D., and
Wang, H. (2013),
A note on tail dependence regression,
Journal of Multivariate Analysis, 120: 163-172.
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Jiang, Q.,
Wang, H., Xia, Y., and Jiang, G. (2013),
On a principal varying coefficient model,
Journal of the American Statistical Association, 108(501): 228-236.
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An, B.,
Wang, H., and Guo, J. (2013),
Testing the statistical significance of an ultra-high dimensional naive Bayes classifier,
Statistics and Its Interface, 2013: 223-229.
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An, B.,
Wang, H., and Guo, J. (2013),
Multivariate regression shrinkage and selection by canonical correlation analysis,
Computational Statistics and Data Analysis, 6(2): 223--229.
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2012
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Wang, H. (2012),
Factor profiled sure independence screening,
Biometrika, 99(1): 15-28.
- Lan, W.,
Wang, H., and Tsai, C.L. (2012),
A Bayesian information criterion for portfolio selection,
Computational Statistics & Data Analysis, 56(1): 88-99.
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Liang, H.,
Wang, H., and Tsai, C.L. (2012),
Profiled forward regression for ultrahigh dimensional variable screening in semiparametric partially linear models,
Statistica Sinica, 22(2): 531-554.
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2011
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Zhang, Q. and
Wang, H. (2011),
On BIC's selection consistency for discriminant analysis,
Statistica Sinica, 21(2): 731-740.
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Pan, R.,
Wang, H., and Tsai, C.L. (2011),
Regression analysis of asymmetric pairs in large scale network data,
Communication in Statistics, 40(10): 1540-1547.
- Li, J., Pan, R., and
Wang, H. (2010),
Selection of best keywords: A Poisson regression model,
Journal of Interactive Advertising, 11(1): 27-35.
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2010
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Yin, J., Geng, Z., Li, R., and
Wang, H. (2010),
Nonparametric covariance model,
Statistica Sinica
, 20(1): 469-479.
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Tsai, C. L.,
Wang, H., and Zhu, N. (2010),
Does a Bayesian approach generate robust forecasts? evidence from applications in portfolio investment decisions,
Annals of the Institute of Statistical Mathematics, 62(1): 109-116.
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Guan, Y. and
Wang, H. (2010),
Sufficient dimension reduction for spatial point processes directed by Gaussian random fields,
Journal of Royal Statistical Society, Series B, 72(3): 367-387.
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Zhang, H. H., Lu, W., and
Wang, H.
(2010),
On sparse estimation for semiparametric linear transformation models
,
Journal of Multivariate Analysis, 101(7): 1594-1606.
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2009
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Wang, H. (2009),
Forward regression for ultra-high dimensional variable screening
,
Journal of the American Statistical Association, 104(488): 1512-1524.
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Wang, H., Li, B., and Leng, C. (2009),
Shrinkage tuning parameter selection with a diverging number of parameters,
Journal of Royal Statistical Society, Series B,
71(3): 671-683.
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Leng, C. and
Wang, H.
(2009),
On general adaptive sparse principal component analysis
,
Journal of Computational and Graphical Statistics, 18(1): 201-215.
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Wang, H. (2009),
Rank reducible varying coefficient model,
Journal of Statistical Planning and Inference
, 139(3): 999-1011.
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Su, X., Tsai, C. L.,
Wang, H., Nickerson, D. M., and Li, B. (2009),
Subgroup analysis via recursive partitioning,
Journal of Machine Learning Research, 10: 141-158.
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Wang, H. and Xia, Y. (2009),
Shrinkage estimation of the varying coefficient model,
Journal of the American Statistical Association, 104(486): 747-757.
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Wang, H. and Tsai, C. L. (2009),
Tail index regression
,
Journal of the American Statistical Association, 104(487): 1233-1240.
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Luo, R.,
Wang, H., and Tsai, C. L. (2009),
Contour projected dimension reduction,
The Annals of Statistics, 37(6): 3743-3778.
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Wang, H. and Tsai, C. L. (2009),
A discussion on "model selection for generalized linear models with factor-augmented predictors",
Applied Stochastic Models for Business and Industry, 25(3): 241-242.
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2008
- Huang, D.,
Wang, H., and Yao, Q. (2008),
Estimating GARCH models: when to use what?
Econometrics Journal, 11(1): 27-38.
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Shao, J. and
Wang, H. (2008),
Confidence intervals based on survey data with nearest neighbor imputation,
Statistica Sinica, 18(1): 281-297.
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Wang, H., Ni, L., and Tsai, C. L. (2008),
Improving dimension reduction via contour-projection,
Statistica Sinica, 18(1): 299-311.
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Wang, H. and Xia, Y. (2008),
Sliced regression for dimension reduction
(Technical Appendix),
Journal of the American Statistical Association, 103(482): 811-821.
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Luo, R.,
Wang, H., and Tsai, C. L. (2008),
On mixture regression shrinkage and selection via the Mr. Lasso,
International Journal of Pure and Applied Mathematics, 46: 403-414.
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Wang, H. and Leng, C. (2008),
A note on adaptive group lasso,
Computational Statistics & Data Analysis, 52(12): 5277-5286.
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Jiang, G. and
Wang, H. (2008),
Should earnings thresholds be used as delisting criteria in stock market?
Journal of Accounting and Public Policy
, 27(5): 409-419.
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Luo, R. and
Wang, H. (2008),
A composite logistic regression approach for ordinal panel data regression,
International Journal of Data Analysis Techniques and Strategies
, 1(1): 29-43.
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Leng, C. and
Wang, H. (2008),
Tuning parameter selection consistency in an ultrahigh dimensional setup: a comment on the sure independence screening rule,
Journal of Royal Statistical Society
, Series B, 70: 896-897.
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2007
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Wang, H., and Leng, C. (2007),
Unified lasso estimation via least square approximation,
Journal of American Statistical Association, 102(479): 1039-1048.
(The R Code).
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Wang, H., Li, R., and Tsai, C. L (2007),
Tuning parameter selectors for the smoothly clipped absolute deviation method,
Biometrika, 94(3): 553-568.
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Wang, H., Li, G., and Tsai, C. L. (2007),
Regression coefficients and autoregressive order shrinkage and selection via the lasso,
Journal of Royal Statistical Society, Series B, 69(1): 63-78.
(The Proof of Theorem 4)
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Wang, H. (2007),
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation,
Computational Statistics and Data Analysis, 51(6): 2803-2812.
(The Matlab Code).
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Wang, H., Li, G., and Jiang, G. (2007),
Robust regression shrinkage and consistent variable selection via the LAD-LASSO,
Journal of Business & Economics Statistics, 25(7): 347-355.
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Wang, H. and Chow, S. C. (2007),
Sample size calculation for comparing means
,
Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct006.
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Wang, H. and Chow, S. C. (2007),
Sample size calculation for comparing proportions
,
Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct005.
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Wang, H. and Chow, S. C. (2007),
Sample size calculation for comparing variabilities,
Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct008.
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Wang, H. and Chow, S. C. (2007),
Sample size calculation for comparing time-to-event,
Encyclopedia of Clinical Trials, Wiley DOI: 10.1002/9780471462422.eoct007.
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2005
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2003
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Chow, S.C., Shao, J., and
Wang, H. (2003),
Sample Size Calculations in Clinical Research. Chapman and Hall/CRC,
New York, NJ, ISBN: 0824709705.
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Chow, S.C., Shao, J., and
Wang, H. (2003),
In vitro bioequivalence testing,
Statistics in Medicine, 22(1): 55-68.
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Chow, S.C., Shao, J., and
Wang, H. (2003),
Statistical tests for population bioequivalence,
Statistica Sinica, 13(2): 539-554.
-
Wang, H. and Shao, J. (2003),
Two-way contingency tables under conditional hot deck imputation,
Statistica Sinica, 13(3): 613-623.
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Wang, H. and Chow, S.C. (2003),
Imputation with item nonrespondents,
Encyclopedia of Biopharmaceutical Statistics , 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc., New York. 443-448.
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Wang, H., Zhang, Y., Shao, J., and Chow, S.C. (2003),
In vitro bioequivalence testing,
Encyclopedia of Biopharmaceutical Statistics, 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York. 449-455.
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Wang, H. (2003),
Imputation in clinical research,
Encyclopedia of Biopharmaceutical Statistics, 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York, New York. 437-442.
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Wang, H., Cheng, B., and Chow, S.C. (2003),
Sample size determination based on rank tests in clinical research,
Journal of Biopharmaceutical Statistics, 13(4): 735-751.
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Lee, Y.,
Wang, H., and Chow, S.C. (2003),
Comparing variabilities in clinical research,
Encyclopedia of Biopharmaceutical Statistics, 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York. 214-230.
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2002
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Shao, J. and
Wang, H. (2002),
Sample correlation coefficients based on survey data under regression imputation,
Journal of American Statistical Association, 97(458): 544-552.
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Wang, H. and Chow, S.C. (2002),
A practical approaches for parallel trials without equal variance assumption,
Statistics in Medicine, 21(20): 3137-3151.
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Chow, S.C., Shao, J., and
Wang, H. (2002),
Individual bioequivalence testing under 2x3 designs,
Statistics in Medicine, 21(5): 629-648.
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Chow, S.C., Shao, J., and
Wang, H. (2002),
Probability lower bound for USP/NF test,
Journal of Biopharmaceutical Statistics, 12(1): 79-92.
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Wang, H. and Chow, S.C. (2002),
On statistical power for average bioequivalence testing under replicated crossover design,
Journal of Biopharmaceutical Statistics, 12(3): 295-309.
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Chow, S.C., Shao, J., and
Wang, H. (2002),
A note on sample size calculation for mean comparisons based on non-central t-statistics,
Journal of Biopharmaceutical Statistics, 12(4): 441-456.
-
Wang, H., Chow, S.C., and Li, G. (2002),
On sample size calculation based on odds ratio in clinical trials,
Journal of Biopharmaceutical Statistics, 12(4): 471-483.
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Lee, Y., Shao, J., Chow, S.C., and
Wang, H. (2002),
Test for inter-subject and total variabilities under crossover design,
Journal of Biopharmaceutical Statistics, 12(4): 503-534.
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2001