Professor of Statistics

yanyuanma@gmail.com

814-863-0980

Education

• MIT, PhD in Applied Mathematics
• Beijing University, BS in Mathematics

Research

• Measurement error models
• Dimension reduction
• Mixed sample problems
• Latent variable models
• Selection bias and Skew-elliptical distributions
• Semiparametrics

Papers

1. Doubly Flexible Estimation Under Label Shift.
   Lee, S. H., Ma, Y., and Zhao, J.
   2024, Journal of the American Statistical Association, in press.
2. Semiparametric Approach to Estimation of Marginal Mean and Marginal Quantile Effects.
   Lee, S. H., Ma, Y., and Ronchetti, E.
   2024, Journal of Econometrics, in press.
3. Optimal sampling for positive only electronic health record data.
   Lee, S. H., Ma, Y., Wei, Y. and Chen, J.
   2023, Biometrics, 79, 2974-2986.
4. Rank-based max-sum tests for mutual independence of high-dimensional random vectors.
   Wang, F., Liu, B., Feng, L. and Ma, Y.
   2024, Journal of Econometrics, in press.
5. Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life.
   Zhao, G., Ma, Y., Lin, H. and Li, Y.
   2024, Annals of Applied Statistics, in press.
6. Community extraction of network data under stochastic block models.
   Yuan, Q., Liu, B., Li, D. and Ma, Y.
   2024, Statistica Sinica, in press.
7. A spline-assisted semiparametric approach to nonparametric measurement error models
   Jiang, F., Ma, Y, and Carroll, R. J.
   2024, Econometrics and Statistics, in press.
8. Kaiser Criterion in Factor Models
   Wang, C., Guo, J., Ma, Y. and Zheng, S.
   2024,Acta Mathematica Sinica, in press.
9. A one-sided refined symmetrized data aggregation approach to robust mutual fund selection.
   Feng, L., Liu, B. and Ma, Y.
   2024, Journal of Business and Economic Statistics, 42, 257-271.
10. Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates.
    Ghosh, T., Ma, Y., Song, R. and Zhong, P.
    2023, Electronic Journal of Statistics, 17, 1344-1370.
11. Frequentist model averaging for envelope models.
    Gao, Z., Zou, J, Zhang, X. and Ma, Y.
    2023, Scandinavian Journal of Statistics, 50, 1325-1364.
12. A Nested Semiparametric Method for Case-Control Study with Missingness.
    Zhao, G., Ma, Y., Schnall, J., Damrauer, S., Levin, M. and Chen, J.
    2023, Scandinavian Journal of Statistics, in Press.
13. Supervised structural learning of semiparametric regression on high-dimensional correlated covariates with applications to eQTL studies.
    Liu, W., Lin, H., Ma, Y., Wei, Y. and Li, Y.
    2023, Statistics in Medicine, 42, 3145-3163.
14. An Update on Measurement Error Modeling.
    Li, M. and Ma, Y.
    2023, Annual Review of Statistics and Its Application, in press.
15. Robust estimation of mean-variance relation.
    Li, M. and Ma, Y.
    2023, Statistics in Medicine, 43, 419-434.
16. On high dimensional poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization.
    Jiang, F., Zhou, Y, Liu, J. and Ma, Y.
    2023, Annals of Statistics, 51, 233-259.
17. Properties of eigenvalues and eigenvectors of large dimensional sample Correlation matrices.
    Yin, Y. and Ma, Y.
    2022, Annals of Applied Probability, 32, 4763-4802.
18. Matrix Completion with Covariate Information and
    Informative Missingness.
    Jiang, F., Jin, H. and Ma, Y.
    2022, Journal of Machine Learning Research, 23, 1-62.
19. Prediction using many samples with models containing partially shared parameters.
    Zhang, X., Liu, H., Wei, Y. and Ma, Y.
    2024, Journal of Business and Economic Statistics, 42, 187-196.
20. Learning non-monotone optimal individualized treatment regimes.
    Ghosh, T., Ma, Y., Zhu, W. and Wang, Y.
    2022, Statistica Sinica, in press.
21. The Pursuit of Efficiency versus Robustness: A Learning Experience from Analyzing a Semiparametric Nonignorable Propensity Score Model.
    Shetty, S., Ma, Y. and Zhao, J.
    2023, Observational Studies, 9, 97-104.
22. A two-way additive model with unknown group specific interactions applied on gene expression data.
    Zheng, T., Guo, J. and Ma, Y.
    2022, Biometrical Journal, 64, 1007-1022.
23. A Robust Approach for Electronic Health Record-Based Case-Control Studies with Contaminated Case Pools.
    Dai, G., Ma, Y., Hasler, J., Chen, J. and Carroll, R. J.
    2023, Biometrics, 79, 2023-2035.
24. Semi-supervised approach to event time annotation using longitudinal electronic health records.
    Liang, L., Hou, J., Uno, H., Cho, K., Ma, Y. and Cai, T.
    2022, Life time data analysis, 28, 428-491.
25. A Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism.
    Zhao, J. and Ma, Y.
    2022, Journal of the American Statistical Association, 117, 1916-1930.
26. High-dimensional test for alpha in linear factor pricing models with sparse alternatives.
    Feng, L., Lan, W., Liu, B. and Ma, Y.
    2022, Journal of Econometrics , 229, 152-175.
27. Covariate balancing for causal inference on categorical and continuous treatments.
    Lee, S.H., Ma, Y. and de Luna, X.
    2022, Econometrics and Statistics, in press.
28. Bias analysis for misclassification errors in both the response variable and covariate.
    Liu, J., Afful, A. Mansell, H. and Ma, Y.
    2022, American Statistician, 76, 353-362.
29. Optimal subsampling for quantile regression in big data.
    Wang, H. and Ma, Y.
    2021, Biometrika , 108, 99-112.
30. Network Functional Autoregression Model.
    Zhu, X., Cai, Z. and Ma, Y.
    2022, Journal of the American Statistical Association, 117, 2074-2085.
31. High-dimensional alpha test of the linear factor pricing models with heavy-tailed distributions.
    Feng, L., Liu, B. and Ma, Y.
    2023, Statistica Sinica , 33, 1389-1410.
32. Poisson Regression with Error Corrupted High Dimensional Features.
    Jiang, F. and Ma, Y.
    2022, Statistica Sinica, 32, 2023-2046.
33. Inference in High Dimensional Linear Measurement Error Models
    Li, M., Li, R. and Ma, Y.
    2021, Journal of Multivariate Analysis, in press.
34. A model averaging treatment to multiple instruments in Poisson model with errors
    Zhang, X., Zhang, X. and Ma, Y.
    2023, Canadian Journal of Statistics, 51, 173-198.
35. Efficient Estimation in a Partially Specified Nonignorable Propensity Score Model
    Li, M., Ma, Y. and Zhao, J.
    2021, Computational Statistics and Data Analysis, in press.
36. Efficient Computational Algorithms for Approximate Optimal Designs
    Duan, J., Gao, W., Ma, Y. and Ng, H.
    2022, Journal of statistical computation and simulation, 92, 764-793.
37. 
    Efficient Estimation for Dimension Reduction with Censored Survival Data.
    Zhao, G., Ma, Y. and Lu, W.
    2022, Statistica Sinica, 32, 2359-2380.
38. An inverse norm sign test of location parameter for high-dimensional data.
    Feng, L., Liu, B. and Ma, Y.
    2021, Journal of Business and Economic Statistics, 39, 807-815.
39. Semiparametric Mixture Regression with Unspecified Error Distributions.
    Ma, Y., Wang, S., Xu, L. and Yao, W.
    2021, Test, 30, 429-444.
40. Testing Calibration of Phenotyping Models Using Positive-Only Electronic Health Record Data.
    Zhang, L., Herman, D., Ma, Y. and Chen, J.
    2020, Biostatistics, 27, 119-126.
41. Model averaging estimation for high dimensional covariance matrix with a network structure.
    Zhu, R., Zhang, X., Ma, Y. and Zou, G.
    2021, Econometrics Journal, 24, 177-197.
42. Model Averaging in a Multiplicative Heteroscedastic Model.
    Zhao, S., Ma, Y., Wan, A. T. K., Zhang, X. and Wang, S.
    2020, Econometric Reviews, 39, 1100-1124.
43. Semiparametric methods in measurement error and misclassification.
    Ma, Y.
    2021,CRC Handbook on Measurement Error Models, 157-182.
44. A note on statistical analysis of factor models of high dimension.
    Gao, Z., Guo, J. and Ma, Y., 2021,

Science China Mathematics, 64, 1905-1916.

45. Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients.
    Zhang, L., Ding, X., Ma, Y., Muthu, N., Ajmal, I., Moore, J. H., Herman, D. S. and Chen, J.
    2020, Journal of the American Medical Informatics Association, 27, 119-126.
46. Using sufficient direction factor model to analyze breast cancer pathway activities.
    Baek, S., Ho, Y. and Ma, Y.
    2020,Biometrics, 76, 1340-1350.
47. A Functional Single Index Model.
    Jiang, F., Baek, S. Cao, J. and Ma, Y.
    2020, Statistica Sinica, 30, 303-324.
48. Understanding and Utilizing the Linearity Condition in Dimension Reduction.
    Ma, Y., Jiang, F. and Henmi, M.
    2020, Statistica Sinica, 30, 763-781.
49. Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function.
    Wang, Q., Ma, Y. and Yang, G.
    2020, Test , 29, 553-572.
50. Goodness-of-t Test for Zero-Inflated Poisson Mixed Effect Models in Tree Abundance Studies.
    Liu, J., Ma, Y. and Johnson, J.
    2020, Computational Statistics and Data Analysis , 144.
51. Generalized Partially Linear Single Index Model with Measurement Error, Instruments and Binary Response.
    Yang, G., Wang, Q., Cui, X. and Ma, Y.
    2020, Brazilian Journal of Probability and Statistics , 34, 770-794.
52. Sufficient direction factor model and its application for gene expression quantitative trait loci discovery.
    Jiang, F., Ma, Y. and Wei, Y.
    2019, Biometrika , 106, 417-432.
53. MALMEM: Model Averaging in Linear Measurement Error Models.
    Zhang, X., Ma, Y. and Carroll, R. J.
    2019,Journal of the Royal Statistical Society, Series B., 81, 763-779.
54. Sufficient dimension reduction for feasible and robust estimation of average causal effect.
    Ghosh, T., Ma, Y. and De Luna, X.
    2019, Statistica Sinica , in press.
55. A Semiparametric Efficient Estimator in Case-Control Studies for Gene-Environment Independent Models.
    Liang, L., Carroll, R. J. and Ma, Y.
    2019, Journal of Multivariate Analysis , 173, 38-50.
56. Semiparametric Regression for Measurement error Model with Heteroscedastic Error.
    Li, M., Ma, Y. and Li, R.
    2019,Journal of Multivariate Statistics, 171, 320-338.
57. Locally Efficient Semiparametric Estimators for a Class of Poisson Models with Measurement Error.
    Liu, J. and Ma, Y.
    2019, Canadian Journal of Statistics, 47, 157-181.
58. Consistent Estimator for Logistic Mixed effect Models
    Wei, Y., Ma, Y., Garcia, T. and Sinha, S.
    2019, Canadian Journal of Statistics, 47, 140-156.
59. Simulation based Bias Correction Methods for Complex Models.
    Guerrier, S., Dupuis-Lozeron, E., Ma, Y. and Victoria-Feser, M.
    2019, Journal of the American Statistical Association, 114, 146-157.
60. Simultaneous Analysis of the Central Mean and Central Variance Subspaces.
    Ma, Y. and Zhu, L.
    2019, Statistica Sinica, 29, 567-588.
61. Multiple Quantile Modelling via Reduced Rank Regression.
    Lian, H., Zhao, W. and Ma, Y.
    2019, Statistica Sinica, 29,1439-1464.
62. Semiparametric efficient estimators in heteroscedastic error models.
    Kim, M. and Ma, Y.
    2019, Annals of the Institute of Statistical Mathematics, 71, 1-28.
63. Semiparametric Efficient Estimation in Quantile Regression of Secondary Analysis.
    Liang, L., Ma, Y., Wei, Y. and Carroll, R. J.
    2018, Journal of the Royal Statistical Society, Series B., 80, 625-648.
64. Functional Prediction Through Averaging Estimated Functional Linear Regression Models.
    Zhang, X., Chiou, J-M. and Ma, Y.
    2018, Biometrika, 105, 945-962.
65. Optimal pseudolikelihood estimation in the analysis of
    multivariate missing data with nonignorable nonresponse.
    Zhao, J. and Ma, Y.
    2018, Biometrika, 105, 479-486.
66. Dimension Reduction and Estimation in the Secondary Analysis of Case-Control Studies.
    Liang, L., Carroll, R. J. and Ma, Y.
    2018, Electronic Journal of Statistics, 12, 1782-1821.
67. A New Robust Estimator of Average Treatment Effect in Causal Inference.
    Liu, J., Ma, Y. and Wang, L.
    2018, Biometrics, 74, 910-923.
68. An Optimal Semiparametric Method for Two-Group Classification.
    Baek, S, Komori, O. and Ma, Y.
    2018, Scandinavian Journal of Statistics, 45, 806-846.
69. Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models.
    Garcia, T. and Ma, Y.
    2017, Journal of Econometrics 200,194-206.
70. 
    Kernel-Based Adaptive Randomization Toward Balance
    in Continuous and Discrete Covariates
    Jiang, F., Ma, Y. and Yin, G.
    2018, Statistica Sinica, 28, 2841-2856.
71. Nonparametric Distribution Estimation in the Presence of Familial Correlation and Censoring
    Xu, K., Ma, Y. and Wang, Y.
    2017, Electronic Journal of Statistics, 11, 1928-1948.
72. Semiparametric Analysis of Complex Polygenic Gene-Environment Interactions in Case-Control Studies.
    Stalder, O., Asher, A., Liang L., Carroll, R. J., Ma, Y. and Chatterjee, N.
    2017, Biometrika, 104, 801-802.
73. Efficient Dimension Reduction for Multivariate Response Data.
    Zhang, Y., Zhu, L and Ma, Y.
    2017, Journal of Multivariate Analysis, 155, 187-199.
74. Analysis of Proportional Odds Models with Censoring and Errors-in-Covariates
    Sinha, S. and Ma, Y.
    2015, Journal of the American Statistical Association, 111, 1301-1312.
75. Semiparametric Estimation in the Secondary Analysis of Case-Control Studies.
    Ma, Y. and Carroll, R. J.
    2016, Journal of the Royal Statistical Society, Series B, 78, 127-153.
76. Robust mixed-effects model for clustered failure time data: application to Huntington’s diseases
    Garcia, T. P., Ma, Y., Marder, K. and Wang, Y.
    2017,Annals of Applied Statistics, 11, 1085-1116.
77. Estimation and Inference of Error-Prone Covariate Effect in the Presence of Confounding Variables
    Liu, J., Ma, Y., Zhu, L. and Carroll, R. J.
    2017,Electronic Journal of Statistics, 11, 480-501.
78. A Semiparametric Single-Index Risk Score Across Populations
    Ma, S., Ma, Y., Wang, Y. and Carroll, R. J.
    2017, Journal of the American Statistical Association, 112, 1648-1662
79. Optimal Quantile Level Selection For Disease Classification and Biomarker Discovery With Application to ECG Data
    Zhou, Y., Huang, R., Yu, S. and Ma, Y.
    2018,Statistical Methods in Medical Research, 27, 3340-3349.
80. A second-order semiparametric method for survival analysis, with application to an acquired immune deficiency syndrome clinical trial study
    Jiang, F., Ma, Y. and Lee, J.
    2017 Journal of the Royal Statistical Society, Series C., 66, 833-846.
81. Linear Model Selection when Covariates Contain Errors
    Zhang, X., Wang, H., Ma, Y. and Carroll, R. J.
    2017, Journal of the American Statistical Association, 112, 1553-1561.
82. Predicting disease Risk by Transformation Models in the Presence of Missing Subgroup Identifiers
    Wang, Q., Ma, Y., Wang, Y.
    2017, Statistica Sinica, 27, 1857-1878.
83. Analysis of Double Single Index Models
    Chen, K. and Ma, Y.
    2016, Scandinavian Journal of Statistics, 44, 1-20.
84. Robust Nonparametric Kernel Regression Estimator
    Zhao, G. and Ma, Y.
    2016, Statistics and Probability Letters, 116, 72-79.
85. Optimal estimator for logistic model with distribution-free random intercept
    Garcia, T. P. and Ma, Y.
    2016, Scandinavian Journal of Statistics, 43, 156-171.
86. A Predictive Based Algorithm for Gene Network Selection
    Guerrier,S., Mili, N., Molinari, R., Orso,S., Avella-Medina, M. and Ma, Y.
    2016, Frontiers in Genetics, section Statistical Genetics and Methodology, 7, 97-108.
87. Fused Kernel-Spline Smoothing for Repeatedly Measured Outcomes in a Generalized Partially Linear Model with Functional Single Index
    Jiang, F., Ma, Y. and Wang, Y.
    2015, Annals of Statistics, 43, 1929-1958.
88. Smoothed and Corrected Score Approach to Censored Quantile Regression with Measurement Errors.
    Wu, Y., Ma, Y. and Yin, G.
    2015, Journal of the American Statistical Association, 110, 1670-1683.
89. Flexible estimation of a semiparametric two-component mixture model with one parametric component
    Ma, Y. and Yao, W.
    2015, Electronic Journal of Statistics, 9, 444-474.
90. Predicting Cumulative Risk of Disease Onset by Re-distributing Weights
    Chen, T., Ma, Y. and Wang, Y.
    2015, Statistics in Medicine, 34, 2427-2443.
91. Difference-based Variance Estimation in Nonparametric Regression with Repeated Measurement Data
    Dai, W., Ma, Y., Tong, T. and Zhu, L.
    2015, Journal of Statistical Planning and Inference, 163, 1-20.
92. A Validated Information Criterion to Determine the Structural Dimension in Dimension Reduction Models
    Ma, Y. and Zhang, X.
    2015, Biometrika, 102, 409-420.
93. On Estimation Efficiency of the Central Mean Subspace.
    Ma, Y. and Zhu, L.
    2014, Journal of the Royal Statistical Society, Series B, 76, 885-901.
94. Functional and Structural Methods with Mixed Measurement Error and Misclassification in Covariates
    Yi, G., Ma, Y., Spiegelman, D. and Carroll, R. J.
    2015, Journal of the American Statistical Association, 110, 681-696.
95. Discussion on “On Families of Distributions with Shape Parameters”.
    Ma, Y.
    2015, International Statistics Review, 83, 207-211.
96. Instrument Assisted Regression for Errors in Variables Models with Binary Response
    Xu, K., Ma, Y. and Wang, L.
    2015, Scandinavian Journal of Statistics, 42, 104-117.
97. Estimating Disease Onset Distribution Functions in Mutation Carriers with Censored Mixture Data.
    Ma, Y. and Wang, Y.
    2014, Journal of the Royal Statistical Society, Series C, 63, 1-23.
98. Combining Isotonic Regression and EM Algorithm to Predict Genetic Risk under Monotonicity Constraint
    Qin, J., Garcia, T., Ma, Y., Tang, M., Marder, K. and Wang, Y.
    2014, Annals of Applied Statistics, 8, 1182-1208.
99. Semiparametric Efficient and Robust Estimation of an Unknown Symmetric Population under Arbitrary Sample Selection Bias.
    Ma, Y., Kim, M. and Genton, M. G.
    2013, Journal of the American Statistical Association, 108, 1090-1104.
100. Quick and easy kernel based one-step estimation of parameters in differential equations
     Hall, P. and Ma, Y.
     2014, Journal of the Royal Statistical Society, Series B, 76, 735-748.
101. Semiparametric analysis of linear transformation models with covariate measurement errors
     Sinha, S. and Ma, Y.
     2014, Biometrics, 70, 21-32.
102. Effective use of multiple error-prone covariate measurements in capture-recapture models
     Xu, K. and Ma, Y.
     2014, Statistica Sinica, 24, 1529-1546.
103. Efficient Estimation in Sufficient Dimension Reduction.
     Ma, Y. and Zhu, L.
     2013, Annals of Statistics, 41, 250-268.
104. Efficiency Loss Caused by Linearity Condition in Dimension Reduction.
     Ma, Y. and Zhu, L.
     2013, Biometrika, 100, 371-383.
105. Doubly Robust and Efficient Estimators for Heteroscedastic Partially Linear Single-index Model Allowing High Dimensional Covariates.
     Ma, Y. and Zhu, L.
     2013, Journal of the Royal Statistical Society, Series B, 75, 305-322.
106. Testing Overall and Subpopulation Treatment Effects with Measurement Errors.
     Ma, Y. and Yin, G.
     2013, Statistica Sinica, 23, 1019-1042.
107. A Review on Dimension Reduction.
     Ma, Y. and Zhu, L.
     2013, International Statistics Review, 81, 134-150.
108. Pearson-type Goodness-of-fit Test with Bootstrap Maximum Likelihood Estimation.
     Yin, G. and Ma, Y.
     2013, Electronic Journal of Statistics, 7, 412-427.
109. Nonparametric modeling and analysis of association between Huntington’s disease onset and CAG repeats.
     Ma, Y. and Wang, Y.
     2014, Statistics in Medicine, 33, 1369-1382.
110. Optimal variance estimation without estimating the mean function
     Tong, T., Ma, Y. and Wang, Y.
     2013, Bernoulli, 19, 1839-1854.
111. Nonparametric estimation for censored mixture data with application to the Cooperative Huntington’s Observational Research Trial.
     Wang, Y., Garcia, T. P. and Ma, Y.
     2012, Journal of the American Statistical Association, 107, 1324-1338.
112. A Semiparametrics Approach to Dimension Reduction.
     Ma, Y. and Zhu, L.
     2012, Journal of the American Statistical Association, 107, 168-179.
113. Multiple imputation in quantile regression
     Wei, Y., Ma,Y. and Carroll, R. J.
     2012, Biometrika, 99, 423-438.
114. A Robust, Functional Generalized Method of Moments Approach for Longitudinal Studies With Missing Responses and Covariate Measurement Error.
     Yi, G. Y., Ma,Y. and Carroll, R. J.
     2012, Biometrika, 99, 151–165.
115. Efficient Semiparametric Estimation for Mixture Data.
     Ma, Y. and Wang, Y.
     2012, Electronic Journal of Statistics, 6, 710-737.
116. Analysis on Censored Quantile Residual Life Model via Spline Smoothing.
     Ma, Y. and Wei, Y.
     2012, Statistica Sinica, 22, 47-68.
117. Functional random effects with time-varying coefficient model for longitudinal data.
     Chiou, J. M., Ma, Y. and Tsai, Z. L.
     2012, Stat, 1, 75-89.
118. The Efficiency of the Second-order Nonlinear Least Squares Estimator and its Extension.
     Kim, M. and Ma, Y.
     2012, Annals of the Institute of Statistical Mathematics, 64, 751-764.
119. Semiparametric location estimation under non-random sampling.
     Genton, M. G., Kim, M. and Ma, Y.
     2012, Stat, 1, 1-11.
120. Density Estimation in Several Populations With Uncertain Population Membership.
     Ma, Y., Hart, J. D. and Carroll, R. J.
     2011, Journal of the American Statistical Association, 106, 1180-1192.
121. Saddlepoint Test in Measurement Error Models.
     Ma, Y. and Ronchetti, E.
     2011, Journal of the American Statistical Association, 106, 147-156.
122. On the Likelihood Function of Gaussian Max-stable Processes.
     Genton, M. G., Ma, Y. and Sang, H.
     2011, Biometrika , 98, 481-488.
123. Stochastic Generalized Method of Moments.
     Yin, G., Ma, Y., Liang, F. and Yuan, Y.
     2011, Journal of Computational and Graphical Statistics , 20, 714-727.
124. Efficiency Improvement Through Model-free Covariate Incorporation in Crossing Survival Curves.
     Garcia, T. P., Ma, Y. and Yin, G.
     2011, Lifetime Data Analysis , 17, 552-565.
125. Testing change-point in logistic models with covariate measurement error.
     Ma, Y.
     2011, Journal of Statistical Research, 45, 131-138.
126. Local and Omnibus Tests in Classical Measurement Error Models.
     Ma, Y., Hart, J. D., Janicki, R. and Carroll, R. J.
     2011, Journal of the Royal Statistical Society, Series B, 73, 81-98.
127. Censored Quantile Regression with Covariate Measurement Errors.
     Ma, Y. and Yin, G.
     2011, Statistica Sinica, 21, 949-971.
128. Asymptotics Properties of Sample Quantiles of Discrete Distributions.
     Ma, Y., Genton, M. G. and Parzen, E.
     2011, Annals of the Institute of Statistical Mathematics, 63, 227-243.
129. Predicting disease onset from mutation status using proband and relative data with applications to Huntington’s disease.
     Chen, T., Wang, Y., Ma, Y., Marder, K. and Langbehn, D.
     2012, Journal of Probability and Statistics, 2012, 1-19.
130. Explicit Semiparametric Estimators for Generalized Linear Latent Variable Models.
     Ma, Y. and Genton, M. G.
     2010, Journal of the Royal Statistical Society, Series B, 72, 475-495.
131. A Semiparametric Efficient Estimator in Case-control Studies.
     Ma, Y.
     2010, Bernoulli, 16, 585-603.
132. Transformation and Smoothing in Sample Survey Data.
     Ma, Y. and Welsh, A. H.
     2010, Scandinavian Journal of Statistics, 37, 496-513.
133. Semiparametric Median Residual Life Model and Inference.
     Ma, Y. and Yin, G.
     2010, Canadian Journal of Statistics, 38, 665-679.
134. Variable Selection in Measurement Error Models.
     Ma, Y. and Li, R.
     2010, Bernoulli, 16, 274-300.
135. Variance Estimation in the Analysis of Microarray Data
     Wang, Y., Ma, Y. and Carroll, R. J.
     2009, Journal of the Royal Statistical Society, Series B, 71, 725-745.
136. Cure Rate Model with Mismeasured Covariates under Transformation
     Ma, Y. and Yin, G.
     2008, Journal of the American Statistical Association, 103, 743-756.
137. Constrained Local Likelihood Estimators for Semiparametric Skew-Normal Distributions
     Ma, Y. and Hart, J.
     2007, Biometrika, 94, 119-134.
138. Discussion on “Parameter estimation for differential equations: A generalized smoothing approach” by Ramsay, Hooker, Campbell and Cao.
     Huang, J. and Ma, Y.
     2007, Journal of the Royal Statistical Society, Series B , 69, 783.
139. Testing the Suitability of Polynomial Models in Errors-in-Variables Problems
     Hall, P. and Ma, Y.
     2007, Annals of Statistics, 35, 2620-2638.
140. Measurement Error Models with Unknown Error Structure.
     Hall, P. and Ma, Y.
     2007, Journal of Royal Statistical Society, Series B , 69, 429-446.
141. Efficient Estimation of Population-level Summaries in General Semiparametric Regression Models
     Maity, A., Ma, Y. and Carroll, R. J.
     2007, Journal of the American Statistical Association, 102, 123-139.
142. Locally Efficient Estimators for Semiparametric Models with Measurement Error
     Ma, Y. and Carroll, R. J.
     2006, Journal of the American Statistical Association, 101, 1465-1474.
143. Efficient Semiparametric Estimator for Heteroscedastic Partially-linear Models
     Ma, Y., Chiou, J.-M. and Wang, N.
     2006, Biometrika, 93, 75-84.
144. Closed Form Semiparametric Estimators for Measurement Error Models
     Ma, Y. and Tsiatis, A. A.
     2006, Statistica Sinica, 16, 183-193.
145. Discussion of “Sur une limitation tres generale de la dispersion de la mediane” by M. Frechet.
     Genton, M. G., Ma, Y. and Parzen, E.
     2006, Journal de la Societe Francaise de Statistique , 147, 51-60.
146. A Hierarchical Bayesian Approach for Parametric Estimation in HIV Models
     Banks, H. T., Grove, S., Hu, S. and Ma, Y.
     2005, Inverse Problems, 21, 1803-1822.
147. Locally Efficient Semiparametric Estimators for Generalized Skew-elliptical Distributions
     Ma, Y., Genton, M. G. and Tsiatis, A. A.
     2005, Journal of the American Statistical Association, 100, 980-989.
148. A Simulation-based Comparison Between Parametric and Nonparametric Estimation Methods in PBPK Models
     Banks, H. T., Ma, Y. and Potter, L.
     2005, Journal of Inverse and Ill-Posed Problems, 13, 1-26.
149. Locally Efficient Semiparametric Estimators for Functional Measurement Error Models
     Tsiatis, A. A. and Ma, Y.
     2004, Biometrika, 91, 835-848.
150. Linear Mixed Effect Models with Flexible Generalized Skew-elliptical Random Effects
     Ma, Y., Genton, M. G. and Davidian, M.
     2004, in Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality, Genton, M. G., Ed., Chapman & Hall / CRC, Boca Raton, FL, pp. 339-358.
151. A Flexible Class of Skew-symmetric Distributions
     Ma, Y. and Genton, M. G.
     2004, Scandinavian Journal of Statistics, 31, 459-468.
152. Highly Robust Estimation of Dispersion Matrices
     Ma, Y. and Genton, M. G.
     2001, Journal of Multivariate Analysis, 78, 11-36.
153. Highly Robust Estimation of the Covariance Function
     Ma, Y. and Genton, M. G.
     2000, Journal of Time Series Analysis, 21, 663-684.
154. Staircase Failures Explained by Orthogonal Versal Forms
     Edelman, A. and Ma, Y.
     2000, SIAM Journal on Matrix Analysis Application, 21, 1004-1025.
155. Robustness Properties of Dispersion Estimators
     Genton, M. G. and Ma, Y.
     1999, Statistics and Probability Letters, 44, 343-350.
156. Non-generic Eigenvalue Perturbations of Jordan Blocks
     Ma, Y. and Edelman, A.
     1998, Linear Algebra and Its Applications, 273, 45-63.

Teaching

• Principles of Statistics I (stat211), Fall 2004.
• Principles of Statistics I (stat211), Spring 2005.
• Principles of Statistics I (stat211), Fall 2005 .
• Principles of Statistics I, Honor Session (stat211H), Spring 2006.
• Regression Analysis, Fall 2006.
• Regression Models, Fall 2006.
• Generalized Linear Models, Spring 2007.
• Rank Statistics, Spring 2007.
• Advanced Regression Analysis, Fall 2007.
• Statistics Inference, Fall 2007.
• Semiparametric Statistics, Spring 2008
• Nonparametric Statistics, Spring 2008
• Regression Models, Spring 2008
• Principles of Statistics I (stat211), Fall 2008.
• Nonparametric Function Estimation (stat627), Spring 2009.
• Principles of Statistics I (stat211), Fall 2009.
• Principles of Statistics I (stat211), Fall 2010.
• Nonparametric Function Estimation (stat627), Spring 2011.
• Principles of Statistics I (stat211), Spring 2012.
• Theory of Statistics, Inference (stat611), Spring 2012.
• Principles of Statistics I (stat211), Spring 2013.
• Principles of Statistics I (stat211), Fall 2013.
• Theory of Statistics, Inference (stat610), Fall 2013.