Yanyuan Ma

Education

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

Research

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

Papers

1. Analysis of Proportional Odds Models with Censoring and Errors-in-Covariates
   Sinha, S. and Ma, Y.
   2017, Journal of the American Statistical Association, in press.
2. Semiparametric Estimation in the Secondary Analysis of Case-Control Studies.
   Ma, Y. and Carroll, R. J.
   2016, Journal of the Royal Statistical Society, Serie B, 78, 127-153.
3. Estimation and Inference of Error-Prone Covariate Effect in the Presence of Confounding Variables
   Liu, J., Ma, Y., Zhu, L. and Carroll, R. J.
   2016, Electronic Journal of Statistics, in press.
4. A Semiparametric Single-Index Risk Score Across Populations
   Ma, S., Ma, Y., Wang, Y. and Carroll, R. J.
   2016, Journal of the American Statistical Association, in press.
5. A Semiparametric Method for Survival Analysis, With Application to a Seamless Phase II/III Clinical Trial Design.
   Jiang, F., Ma, Y. and Lee, J.
   2016 Journal of the Royal Statistical Society, Series C., in press.
6. Linear Model Selection when Covariates Contain Errors
   Zhang, X., Wang, H., Ma, Y. and Carroll, R. J.
   2016, Journal of the American Statistical Association, in press.
7. Predicting disease Risk by Transformation Models in the Presence of Missing Subgroup Identifiers
   Wang, Q., Ma, Y., Wang, Y.
   2016, Statistica Sinica, in press.
8. Analysis of Double Single Index Models
   Chen, K. and Ma, Y.
   2016, Scandinavian Journal of Statistics, in press.
9. Robust Nonparametric Kernel Regression Estimator
   Zhao, G. and Ma, Y.
   2016, Statistics and Probability Letters, in press.
10. Optimal estimator for logistic model with distribution-free random intercept
    Garcia, T. P. and Ma, Y.
    2016, Scandinavian Journal of Statistics, in press.
11. 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, in press.
12. 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.
13. Smoothed and Corrected Score Approach to Censored Quantile Regression with Measurement Errors.
    Wu, Y., Ma, Y. and Yin, G.
    2015, Journal of the American Statisitcal Association, 110, 1670-1683.
14. 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.
15. Predicting Cumulative Risk of Disease Onset by Re-distributing Weights
    Chen, T., Ma, Y. and Wang, Y.
    2015, Statistics in Medicine, 34, 2427-2443.
16. 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.
17. A Validated Information Criterion to Determine the Structural Dimension in Dimension Reduction Models
    Ma, Y. and Zhang, X.
    2015, Biomerika, 102, 409-420.
18. On Estimation Efficiency of the Central Mean Subspace.
    Ma, Y. and Zhu, L.
    2014, Journal of the Royal Statistical Society, Serie B, 76, 885-901.
19. 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.
20. Discussion on "On Families of Distributions with Shape Parameters".
    Ma, Y.
    2015, International Statistics Review, 83, 207-211.
21. 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.
22. Estimating Disease Onset Distribution Functions in Mutation Carriers with Censored Mixture Data.
    Ma, Y. and Wang, Y.
    2014, Journal of the Royal Statistical Society, Serie C, 63, 1-23.
23. 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.
24. 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.
25. 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, Serie B, 76, 735-748.
26. Semiparametric analysis of linear transformation models with covariate measurement errors
    Sinha, S. and Ma, Y.
    2014, Biometrics, 70, 21-32.
27. Effective use of multiple error-prone covariate measurements in capture-recapture models
    Xu, K. and Ma, Y.
    2014, Statistica Sinica, 24, 1529-1546.
28. Efficient Estimation in Sufficient Dimension Reduction.
    Ma, Y. and Zhu, L.
    2013, Annals of Statistics, 41, 250-268.
29. Efficiency Loss Caused by Linearity Condition in Dimension Reduction.
    Ma, Y. and Zhu, L.
    2013, Biometrika, 100, 371-383.
30. 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, Serie B, 75, 305-322.
31. Testing Overall and Subpopulation Treatment Effects with Measurement Errors.
    Ma, Y. and Yin, G.
    2013, Statistica Sinica, 23, 1019-1042.
32. A Review on Dimension Reduction.
    Ma, Y. and Zhu, L.
    2013, International Statistics Review, 81, 134-150.
33. Pearson-type Goodness-of-fit Test with Bootstrap Maximum Likelihood Estimation.
    Yin, G. and Ma, Y.
    2013, Electronic Journal of Statistics, 7, 412-427.
34. 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.
35. Optimal variance estimation without estimating the mean function
    Tong, T., Ma, Y. and Wang, Y.
    2013, Bernoulli, 19, 1839-1854.
36. 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.
37. A Semiparametrics Approach to Dimension Reduction.
    Ma, Y. and Zhu, L.
    2012, Journal of the American Statistical Association, 107, 168-179.
38. Multiple imputation in quantile regression
    Wei, Y., Ma,Y. and Carroll, R. J.
    2012, Biometrika, 99, 423-438.
39. 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.
40. Efficient Semiparametric Estimation for Mixture Data.
    Ma, Y. and Wang, Y.
    2012, Electronic Journal of Statistics, 6, 710-737.
41. Analysis on Censored Quantile Residual Life Model via Spline Smoothing.
    Ma, Y. and Wei, Y.
    2012, Statistica Sinica, 22, 47-68.
42. 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.
43. 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.
44. Semiparametric location estimation under non-random sampling.
    Genton, M. G., Kim, M. and Ma, Y.
    2012, Stat, 1, 1-11.
45. 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.
46. Saddlepoint Test in Measurement Error Models.
    Ma, Y. and Ronchetti, E.
    2011, Journal of the American Statistical Association, 106, 147-156.
47. On the Likelihood Function of Gaussian Max-stable Processes.
    Genton, M. G., Ma, Y. and Sang, H.
    2011, Biometrika , 98, 481-488.
48. Stochastic Generalized Method of Moments.
    Yin, G., Ma, Y., Liang, F. and Yuan, Y.
    2011, Journal of Computational and Graphical Statistics , 20, 714-727.
49. 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.
50. Testing change-point in logistic models with covariate measurement error.
    Ma, Y.
    2011, Journal of Statistical Research, 45, 131-138.
51. 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.
52. Censored Quantile Regression with Covariate Measurement Errors.
    Ma, Y. and Yin, G.
    2011, Statistica Sinica, 21, 949-971.
53. 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.
54. 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.
55. 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.
56. A Semiparametric Efficient Estimator in Case-control Studies.
    Ma, Y.
    2010, Bernoulli, 16, 585-603.
57. Transformation and Smoothing in Sample Survey Data.
    Ma, Y. and Welsh, A. H.
    2010, Scandinavian Journal of Statistics, 37, 496-513.
58. Semiparametric Median Residual Life Model and Inference.
    Ma, Y. and Yin, G.
    2010, Canadian Journal of Statistics, 38, 665-679.
59. Variable Selection in Measurement Error Models.
    Ma, Y. and Li, R.
    2010, Bernoulli, 16, 274-300.
60. 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.
61. Cure Rate Model with Mismeasured Covariates under Transformation
    Ma, Y. and Yin, G.
    2008, Journal of the American Statistical Association, 103, 743-756.
62. Constrained Local Likelihood Estimators for Semiparametric Skew-Normal Distributions
    Ma, Y. and Hart, J.
    2007, Biometrika, 94, 119-134.
63. 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.
64. Testing the Suitability of Polynomial Models in Errors-in-Variables Problems
    Hall, P. and Ma, Y.
    2007, Annals of Statistics, 35, 2620-2638.
65. Measurement Error Models with Unknown Error Structure.
    Hall, P. and Ma, Y.
    2007, Journal of Royal Statistical Society, Series B , 69, 429-446.
66. 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.
67. 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.
68. Efficient Semiparametric Estimator for Heteroscedastic Partially-linear Models
    Ma, Y., Chiou, J.-M. and Wang, N.
    2006, Biometrika, 93, 75-84.
69. Closed Form Semiparametric Estimators for Measurement Error Models
    Ma, Y. and Tsiatis, A. A.
    2006, Statistica Sinica, 16, 183-193.
70. 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.
71. 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.
72. 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.
73. 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.
74. Locally Efficient Semiparametric Estimators for Functional Measurement Error Models
    Tsiatis, A. A. and Ma, Y.
    2004, Biometrika, 91, 835-848.
75. 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.
76. A Flexible Class of Skew-symmetric Distributions
    Ma, Y. and Genton, M. G.
    2004, Scandinavian Journal of Statistics, 31, 459-468.
77. Highly Robust Estimation of Dispersion Matrices
    Ma, Y. and Genton, M. G.
    2001, Journal of Multivariate Analysis, 78, 11-36.
78. Highly Robust Estimation of the Covariance Function
    Ma, Y. and Genton, M. G.
    2000, Journal of Time Series Analysis, 21, 663-684.
79. Staircase Failures Explained by Orthogonal Versal Forms
    Edelman, A. and Ma, Y.
    2000, SIAM Journal on Matrix Analysis Application, 21, 1004-1025.
80. Robustness Properties of Dispersion Estimators
    Genton, M. G. and Ma, Y.
    1999, Statistics and Probability Letters, 44, 343-350.
81. 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.