Research Interests
Measurement Error Models, Lack-of-Fit Tests, Bioassay, Nonparametric Smoothing, High Dimensional Data
Grants
1. University Small Research Grant, No.2232, Kansas State University, 2008.
2. NSF DMS 1205276, PI, 2012.9.1 -- 2015. 9.1
3. University Faculty Development Award, No.3344, Kansas State University, 2016.
4. NSF DMS 1833447. Symposium on Mathematical Statistics and Applications: From Time Series and Stochastics, to Semi- and Non-Parametrics, to High-Dimensional Models. Co-PI.
2. NSF DMS 1205276, PI, 2012.9.1 -- 2015. 9.1
3. University Faculty Development Award, No.3344, Kansas State University, 2016.
4. NSF DMS 1833447. Symposium on Mathematical Statistics and Applications: From Time Series and Stochastics, to Semi- and Non-Parametrics, to High-Dimensional Models. Co-PI.
Selected Publications
55. Nonparametric Regression Estimate with Berkson Laplace Measurement Error. (2020). Accepted by Statistics and Probability Letters. (with Shi, J.H., Bai, X.Q.)
54. Checking adequacy of variance function in nonparametric regression with unknown mean function. (2020). (with Jia Liang. Supplemental File)
53. Simex Estimation in Parametric Modal Regressin with Measurement Error. (2020). Under revision for Computational Statistics and Data Analysis.
52. Adaptive Nonparametric Regression on Finite Support. Accepted by the Communication in Statistics -- Theory and Methods. (2020). (with Bala Natarajan)
51. Modal Nonlinear Regression in The Presence of Laplace Measurement Error. Accepted by the Australian & New Zealand Journal of Statistics. (2019). (with Jianhong Shi, Jie Zhang and Xiaorui Wang)
50. Partial Deconvolution Estimation in Nonparametric Regression. Accepted by the Canadian Journal of Statistics. (2019). (with Jianhong Shi, Xiuqin Bai).
49. Comparison Study on The Confidence Intervals in Linear Regression Models with Restricted Parameter Space. 52(2), 115-127, JSR (2019). (with Xiuqin Bai).
48. Estimation in Linear Regression with Laplace Measurement Error Using Tweedie-Type Formula. Journal of System Science and Complexity (2019). 32(4), 1211-1230. (with Jing Feng, Jianhong Shi)
47. Local Linear Regression with Reciprocal Inverse Gaussian Kernel. (2019). Metrika, 82(6), 733-758. (with Xu Li, Juxia Xiao, Jianhong Shi)
46. Goodness-of-Fit Tests in Linear EV Regression with Replications. Accepted by Metrika (2018). 81(4), 395-421. (with Weijia Jia).
45. Goodness-of-fit Testing of Error Distribution in Linear Measurement Error Models. (2018). Annals of Statistics. 46(5), 2479-2510. (With H. L. Koul, Xiaoqing Zhu)
44. Statistical inference for heteroscedastic semi-varying coefficient EV models. (2018). 47(10). 2432-2455. Communication in statistics - Theory and Methodology.
(With Fanrong Zhao, Jianhong Shi)
43. Robust mixture multivariate linear regression by multivariate Laplace distribution. (2017). Statistics and Probability Letters, 130, 32-39 (With Xiongya Li, Xiuqin Bai)
42. Effects of measurement error on a class of single-index varying coefficient regression models. (2017). Computational Statistics, 32(3), 977-1001. (with Jianhong Shi, Qian Yang, Xiongya Li)
41. Identification and Quantification of Anthocyanins in Transgenic Purple Tomato. Food Chemistry, (2016). 202 184-188. (with Xiaoyu Shu, Weiqun Wang et al.)
40. Minimum distance partial linear regression model checking with Berkson measurement errors. JSPI, (2016). 174, 129-152. (with Hira L. Koul)
39. Asymptotic Results in Gamma Kernel Regression. (2016). Communications in Statistics – Theory and Methods. R-Codes. (45)12, 3489-3509. (with Jianhong Shi)
38. Sparse principal component analysis with measurement errors. (2016). JSPI, 175, 87-99. (with Jianhong Shi)
37. Nonlinear Statistical Inference with Laplace Measurement Error. (2015). Journal of Systems Science and Mathematical Sciences. 35(12), 1510-1528. (with Jianhong Shi. In Chinese)
36. A parametric bootstrap approach for two-way error component regression models. (2015). Communications in Statistics – Simulation and Computation, 46(5), 3952-3961. (With Lili Yue and Jianhong Shi)
35. Parametric bootstrap simultaneous confidence intervals for differences of means from several two-parameter exponential distributions. (2015). Statistics and Probability Letters, 106, 39-45. (With Juan Li, Jianhong Shi)
34. On Hong-Tamer's estimation in parametric models with Laplace measurement error. (2015). Statistics and Probability Letters. 97, 165-175. (with Jianghong Wu)
33. SIMEX for parametric models with Laplace measurement errors. (2014). Electronic Journal of Statistics. 8(2), 1973-1995.
32. Model Checking in Tobit Regression via Nonparametric Smoothing. (2014). Journal of Multivariate Analysis. 125, 36–49. (with Hira L. Koul, Shan Liu)
31. Robust Errors-in-Variables Linear Regression via Laplace Distribution. (2014). Statistics and Probability Letters. 84, 113-120. (with Jianhong Shi, and Kun Chen)
30. Efficient estimation in two-sided truncated model. (2014). Springer Proceedings in Mathematics & Statistics. 68, 311-327.
29. Robust mixture linear regression by laplace distribution. (2014). Computational Statistics and Data Analysis. 71, 128-137. (with Yanru Xing, Weixin Yao)
28. Mixtures of Linear Regression with Measurement Errors. (2014). Communications in Statistics – Theory and Methods. 44(8), 1602-1614. (with Weixin Yao)
27. Large sample results for varying kernel regression estimates. (2013). Journal of Nonparametric Statistics. 25(4), 829-853. (with H.L. Koul)
26. Empirical L2-Distance Lack-of-Fit Tests For Tobit Regression Models. (2012). Journal of Multivariate Analysis. 111, 380–396
25. Empirical Smoothing Lack-of-Fit Tests For Variance Function. (2012). Journal of Statistical Planning and Inference. 142(5), 1128–1140. (with Nishantha Samarakoon)
24. Bickel-Rosenblatt type goodness-of-fit tests in linear errors-in-variables regression model. (2012). J. French Statistical Society. 153. 52-70.
23. Empirical Likelihood confidence intervals for density function in errors-in-variables model. (2011). To appear in the Journal of Statistical Research.
22. A lack-of-fit test in Tobit errors-in-variables regression model. (2011) Statistics and Probability Letters. 81(12), 1792-1801(with Weixin Yao)
21. Distribution-free test in Tobit mean regression model. (2011) Journal of Statistical Planning and Inference. 141(8), 2891-2901.
20. The pattern and dynamics of genome and chromosome size variation. Molecular Biology and Evolution. (2011) first published online January 13, 2011 doi:10.1093/molbev/msr011 (with Xianran Li, et al).
19. A note on testing the functional forms for regression functions via nonparametric smoothing. (2011) Canadian Journal of Statistics. 39(1), 108-125. (with Juan Du).
18. Minimum distance conditional variance function checking in heteroscedastic regression models. (2011), Journal of Multivariate Analysis. 102(3), 579-600. (with Nishantha Samarakoon).
17. Distributional free lack-of-fit tests in balanced mixed models. (2010) Statistics and Probability Letters. 80(17-18), 1378-1387. (with Juan Du).
16. Conditional variance model checking. (2010) Journal of Statistical Planning and Inference, 140(4), 1056-1072. (with H.L.Koul).
15. Variation Explained in Mixed-Model Association Mapping, Heredity. (2010) 105, 333- 340 (with Sun,G.N et al.).
14. Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors. (2010), Statist. and Prob. Letters. 80, 169-176.
13. Relative potency estimation in direct bioassy with measurement errors, the 2009 Pro-ceeding of Conference on Applied Statistics in Agriculture.
12. Model checking in partial linear regression models with Berkson measurement error. (2010) Statistica Sinica. 20, 1551-1579. (with H.L.Koul)
11. On the robust modal local polynomial regression. (2009), International Journal of Statistical Science. 9, 217-231. (with H.Y. Wang and W.X. Yao)
10. Lack-of-fit testing in errors-in-variable model with validation data. (2009). Statist.and Prob. Letters, 79, 765-773.
9. Improved estimation in multiple linear regression models with measurement error and general constraint. (2009). Journal of Multivariate Analysis. 100, 726-741. (with Hua Liang).
8. Minimum distance regression model checking with Berkson error. (2009). Ann. Of Statist. 37(1), 132-156. (with H. L. Koul)
7. Regression Model checking with Berkson measurement error. (2008). Journal of Statistical Planning and Inference. 138, 1615-1628. (with H. L. Koul)
6. Model checking in errors-in-variables regression. (2008). Journal of Multivariate Analysis. 99, 2406-2433.
5. Testing lack-of-fit for a polynomial errors-in-variables model. (2003). Acta Math. Appl.Sin. Engl. Ser. 19(3), 353-362. (with Lixing Zhu, Hengjian Cui)
4. Quasi-maximum likelihood estimator in non-regular location parameter models. (2002).Acta Math. Appl. Sin. 25(1), 49–57.
3. Convolution theorem and asymptotic efficiency in two sided truncated distribution family—the normal case. (2002). J. Syst. Sci. Complex. 15(3), 315-328. (with Ping Cheng)
2. Convolution theorem and asymptotic efficiency in two sided truncated distribution families. (2001). Acta Math. Sinica. 44(4), 737-746. (with Ping Cheng)
1. One sided asymptotic efficiency in uniform distributions. (2001). J. Syst. Sci. Complex. 14(2), 159–164.
54. Checking adequacy of variance function in nonparametric regression with unknown mean function. (2020). (with Jia Liang. Supplemental File)
53. Simex Estimation in Parametric Modal Regressin with Measurement Error. (2020). Under revision for Computational Statistics and Data Analysis.
52. Adaptive Nonparametric Regression on Finite Support. Accepted by the Communication in Statistics -- Theory and Methods. (2020). (with Bala Natarajan)
51. Modal Nonlinear Regression in The Presence of Laplace Measurement Error. Accepted by the Australian & New Zealand Journal of Statistics. (2019). (with Jianhong Shi, Jie Zhang and Xiaorui Wang)
50. Partial Deconvolution Estimation in Nonparametric Regression. Accepted by the Canadian Journal of Statistics. (2019). (with Jianhong Shi, Xiuqin Bai).
49. Comparison Study on The Confidence Intervals in Linear Regression Models with Restricted Parameter Space. 52(2), 115-127, JSR (2019). (with Xiuqin Bai).
48. Estimation in Linear Regression with Laplace Measurement Error Using Tweedie-Type Formula. Journal of System Science and Complexity (2019). 32(4), 1211-1230. (with Jing Feng, Jianhong Shi)
47. Local Linear Regression with Reciprocal Inverse Gaussian Kernel. (2019). Metrika, 82(6), 733-758. (with Xu Li, Juxia Xiao, Jianhong Shi)
46. Goodness-of-Fit Tests in Linear EV Regression with Replications. Accepted by Metrika (2018). 81(4), 395-421. (with Weijia Jia).
45. Goodness-of-fit Testing of Error Distribution in Linear Measurement Error Models. (2018). Annals of Statistics. 46(5), 2479-2510. (With H. L. Koul, Xiaoqing Zhu)
44. Statistical inference for heteroscedastic semi-varying coefficient EV models. (2018). 47(10). 2432-2455. Communication in statistics - Theory and Methodology.
(With Fanrong Zhao, Jianhong Shi)
43. Robust mixture multivariate linear regression by multivariate Laplace distribution. (2017). Statistics and Probability Letters, 130, 32-39 (With Xiongya Li, Xiuqin Bai)
42. Effects of measurement error on a class of single-index varying coefficient regression models. (2017). Computational Statistics, 32(3), 977-1001. (with Jianhong Shi, Qian Yang, Xiongya Li)
41. Identification and Quantification of Anthocyanins in Transgenic Purple Tomato. Food Chemistry, (2016). 202 184-188. (with Xiaoyu Shu, Weiqun Wang et al.)
40. Minimum distance partial linear regression model checking with Berkson measurement errors. JSPI, (2016). 174, 129-152. (with Hira L. Koul)
39. Asymptotic Results in Gamma Kernel Regression. (2016). Communications in Statistics – Theory and Methods. R-Codes. (45)12, 3489-3509. (with Jianhong Shi)
38. Sparse principal component analysis with measurement errors. (2016). JSPI, 175, 87-99. (with Jianhong Shi)
37. Nonlinear Statistical Inference with Laplace Measurement Error. (2015). Journal of Systems Science and Mathematical Sciences. 35(12), 1510-1528. (with Jianhong Shi. In Chinese)
36. A parametric bootstrap approach for two-way error component regression models. (2015). Communications in Statistics – Simulation and Computation, 46(5), 3952-3961. (With Lili Yue and Jianhong Shi)
35. Parametric bootstrap simultaneous confidence intervals for differences of means from several two-parameter exponential distributions. (2015). Statistics and Probability Letters, 106, 39-45. (With Juan Li, Jianhong Shi)
34. On Hong-Tamer's estimation in parametric models with Laplace measurement error. (2015). Statistics and Probability Letters. 97, 165-175. (with Jianghong Wu)
33. SIMEX for parametric models with Laplace measurement errors. (2014). Electronic Journal of Statistics. 8(2), 1973-1995.
32. Model Checking in Tobit Regression via Nonparametric Smoothing. (2014). Journal of Multivariate Analysis. 125, 36–49. (with Hira L. Koul, Shan Liu)
31. Robust Errors-in-Variables Linear Regression via Laplace Distribution. (2014). Statistics and Probability Letters. 84, 113-120. (with Jianhong Shi, and Kun Chen)
30. Efficient estimation in two-sided truncated model. (2014). Springer Proceedings in Mathematics & Statistics. 68, 311-327.
29. Robust mixture linear regression by laplace distribution. (2014). Computational Statistics and Data Analysis. 71, 128-137. (with Yanru Xing, Weixin Yao)
28. Mixtures of Linear Regression with Measurement Errors. (2014). Communications in Statistics – Theory and Methods. 44(8), 1602-1614. (with Weixin Yao)
27. Large sample results for varying kernel regression estimates. (2013). Journal of Nonparametric Statistics. 25(4), 829-853. (with H.L. Koul)
26. Empirical L2-Distance Lack-of-Fit Tests For Tobit Regression Models. (2012). Journal of Multivariate Analysis. 111, 380–396
25. Empirical Smoothing Lack-of-Fit Tests For Variance Function. (2012). Journal of Statistical Planning and Inference. 142(5), 1128–1140. (with Nishantha Samarakoon)
24. Bickel-Rosenblatt type goodness-of-fit tests in linear errors-in-variables regression model. (2012). J. French Statistical Society. 153. 52-70.
23. Empirical Likelihood confidence intervals for density function in errors-in-variables model. (2011). To appear in the Journal of Statistical Research.
22. A lack-of-fit test in Tobit errors-in-variables regression model. (2011) Statistics and Probability Letters. 81(12), 1792-1801(with Weixin Yao)
21. Distribution-free test in Tobit mean regression model. (2011) Journal of Statistical Planning and Inference. 141(8), 2891-2901.
20. The pattern and dynamics of genome and chromosome size variation. Molecular Biology and Evolution. (2011) first published online January 13, 2011 doi:10.1093/molbev/msr011 (with Xianran Li, et al).
19. A note on testing the functional forms for regression functions via nonparametric smoothing. (2011) Canadian Journal of Statistics. 39(1), 108-125. (with Juan Du).
18. Minimum distance conditional variance function checking in heteroscedastic regression models. (2011), Journal of Multivariate Analysis. 102(3), 579-600. (with Nishantha Samarakoon).
17. Distributional free lack-of-fit tests in balanced mixed models. (2010) Statistics and Probability Letters. 80(17-18), 1378-1387. (with Juan Du).
16. Conditional variance model checking. (2010) Journal of Statistical Planning and Inference, 140(4), 1056-1072. (with H.L.Koul).
15. Variation Explained in Mixed-Model Association Mapping, Heredity. (2010) 105, 333- 340 (with Sun,G.N et al.).
14. Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors. (2010), Statist. and Prob. Letters. 80, 169-176.
13. Relative potency estimation in direct bioassy with measurement errors, the 2009 Pro-ceeding of Conference on Applied Statistics in Agriculture.
12. Model checking in partial linear regression models with Berkson measurement error. (2010) Statistica Sinica. 20, 1551-1579. (with H.L.Koul)
11. On the robust modal local polynomial regression. (2009), International Journal of Statistical Science. 9, 217-231. (with H.Y. Wang and W.X. Yao)
10. Lack-of-fit testing in errors-in-variable model with validation data. (2009). Statist.and Prob. Letters, 79, 765-773.
9. Improved estimation in multiple linear regression models with measurement error and general constraint. (2009). Journal of Multivariate Analysis. 100, 726-741. (with Hua Liang).
8. Minimum distance regression model checking with Berkson error. (2009). Ann. Of Statist. 37(1), 132-156. (with H. L. Koul)
7. Regression Model checking with Berkson measurement error. (2008). Journal of Statistical Planning and Inference. 138, 1615-1628. (with H. L. Koul)
6. Model checking in errors-in-variables regression. (2008). Journal of Multivariate Analysis. 99, 2406-2433.
5. Testing lack-of-fit for a polynomial errors-in-variables model. (2003). Acta Math. Appl.Sin. Engl. Ser. 19(3), 353-362. (with Lixing Zhu, Hengjian Cui)
4. Quasi-maximum likelihood estimator in non-regular location parameter models. (2002).Acta Math. Appl. Sin. 25(1), 49–57.
3. Convolution theorem and asymptotic efficiency in two sided truncated distribution family—the normal case. (2002). J. Syst. Sci. Complex. 15(3), 315-328. (with Ping Cheng)
2. Convolution theorem and asymptotic efficiency in two sided truncated distribution families. (2001). Acta Math. Sinica. 44(4), 737-746. (with Ping Cheng)
1. One sided asymptotic efficiency in uniform distributions. (2001). J. Syst. Sci. Complex. 14(2), 159–164.
Invited Presentations
28. August, 2017. Invited. Conference on Frontiers of Big Data and Statistical Sciences, ICSA Canada, Vancouver.
27. July, 2017. Invited. Workshop on variable selection. School of Mathematics and Computer Sciences, Shanxi Normal University.
26. June, 2017. Invited. The 10th R Conference, Taiyuan University of Tech
25. June, 2017. Invited. School of Mathematics and Statistics, Qingdao University.
24. August, 2016. Invited. Workshop on “Newest Developments and Urgent Issues in
Measurement Error and Latent Variable Problems”. Banff, Canada.
23. June, 2016. Invited. ISNPS conference in Avignon, France.
22. December, 2015. Invited. School of Mathematics and Computer Sciences, Shanxi Normal University.
21. December, 2015. Invited. International conference in the frontier of Statistics, Beijing.
20. December, 2014. Invited. School of Mathematics and Computer Sciences, Shanxi Normal University.
19. December, 2014. Invited. Department of Mathematics, Capital Normal University.
18. July, 2013. Invited. School of Mathematics and Computer Sciences. Shanxi Normal University.
17. July, 2013. Invited. Department of Mathematics, Changzhi University.
16. July, 2013. Invited. Department of Mathematics, Fujian Normal University.
15. July, 2013. Invited. The IMS-China International Conference on Statistics and Probability.
14. August. 2012. Invited. JSM, San Diego, USA
13. August, 2011. Invited. 2011 JSM, Miami, USA.
12. November, 2010. Invited. Distribution-free test in Tobit mean regression model. Michigan State University.
11. January, 2010. Invited. International Conference on Statistics, Probability, Operations Research, Computer Science and Allied Areas, Visakapatnam, India.
10. June, 2009. Invited. The 6th Workshop on Simulation. St. Petersburg State University, St. Petersburg, Russia. (Unable to attend)
9. May, 2009. Invited. The International Meeting on Nonparametric Methods in Measurement Error Models, sponsored by Fields Institute, at Carleton University, Canada. (Unable to attend)
8. April, 2009. Improved Estimation in Direct Bioassay. Invited. Conference on Applied Statistics in Agriculture. Manhattan, KS.
7. February, 2009. Marked empirical process for lack-of-fit test in partial linear regression model. Invited. University of Missouri, Columbia.
6. August, 2008. Model checking in partial linear regression model, Denver, JSM2008
5. May, 2008. Lack-of-fit test in the partial linear regression model with Berkson measurement error. Invited. IISA annual meeting, University of Connecticut.
4. May, 2008. Some problems on the adequacy checking in regression models. Invited talk in the meeting for honoring Professor Hira.L. Koul’s 65th birthday, Michigan State University.
3. September, 2007, Lack-of-fit test in the partial linear regression model with Berkson measurement error. Department of statistics, Kansas State University.
2. August, 2007. Minimum distance regression model checking with Berkson error. Young Research Meeting, JSM, Salt Lake City.
1. April, 2006. Minimum distance model fitting with measurement error model. Department of Statistics, Kansas State University
27. July, 2017. Invited. Workshop on variable selection. School of Mathematics and Computer Sciences, Shanxi Normal University.
26. June, 2017. Invited. The 10th R Conference, Taiyuan University of Tech
25. June, 2017. Invited. School of Mathematics and Statistics, Qingdao University.
24. August, 2016. Invited. Workshop on “Newest Developments and Urgent Issues in
Measurement Error and Latent Variable Problems”. Banff, Canada.
23. June, 2016. Invited. ISNPS conference in Avignon, France.
22. December, 2015. Invited. School of Mathematics and Computer Sciences, Shanxi Normal University.
21. December, 2015. Invited. International conference in the frontier of Statistics, Beijing.
20. December, 2014. Invited. School of Mathematics and Computer Sciences, Shanxi Normal University.
19. December, 2014. Invited. Department of Mathematics, Capital Normal University.
18. July, 2013. Invited. School of Mathematics and Computer Sciences. Shanxi Normal University.
17. July, 2013. Invited. Department of Mathematics, Changzhi University.
16. July, 2013. Invited. Department of Mathematics, Fujian Normal University.
15. July, 2013. Invited. The IMS-China International Conference on Statistics and Probability.
14. August. 2012. Invited. JSM, San Diego, USA
13. August, 2011. Invited. 2011 JSM, Miami, USA.
12. November, 2010. Invited. Distribution-free test in Tobit mean regression model. Michigan State University.
11. January, 2010. Invited. International Conference on Statistics, Probability, Operations Research, Computer Science and Allied Areas, Visakapatnam, India.
10. June, 2009. Invited. The 6th Workshop on Simulation. St. Petersburg State University, St. Petersburg, Russia. (Unable to attend)
9. May, 2009. Invited. The International Meeting on Nonparametric Methods in Measurement Error Models, sponsored by Fields Institute, at Carleton University, Canada. (Unable to attend)
8. April, 2009. Improved Estimation in Direct Bioassay. Invited. Conference on Applied Statistics in Agriculture. Manhattan, KS.
7. February, 2009. Marked empirical process for lack-of-fit test in partial linear regression model. Invited. University of Missouri, Columbia.
6. August, 2008. Model checking in partial linear regression model, Denver, JSM2008
5. May, 2008. Lack-of-fit test in the partial linear regression model with Berkson measurement error. Invited. IISA annual meeting, University of Connecticut.
4. May, 2008. Some problems on the adequacy checking in regression models. Invited talk in the meeting for honoring Professor Hira.L. Koul’s 65th birthday, Michigan State University.
3. September, 2007, Lack-of-fit test in the partial linear regression model with Berkson measurement error. Department of statistics, Kansas State University.
2. August, 2007. Minimum distance regression model checking with Berkson error. Young Research Meeting, JSM, Salt Lake City.
1. April, 2006. Minimum distance model fitting with measurement error model. Department of Statistics, Kansas State University