鄭明燕 (1990G)

鄭明燕

鄭明燕 

現職

台灣大學數學系 教授

學歷

Department of Statistics, University of North Carolina at Chapel Hill, Ph.D    (1994)

清華大學統計所 碩士 (1990)

清華大學數學系 學士 (1988)

經歷

1998~2008, 2010 迄今

國立台灣大學 數學系 副教授、教授、特聘教授

2008~2010

Chair of Statistics, University College London, UK

1994~1996, 1997-1998

國立中正大學 數學系 副教授

1996~1997

Research Associate, Australian National University

推薦理由

鄭明燕為清大數學系及統計所的畢業校友，此推薦為彰顯她在統計領域的傑出研究表現。其榮譽事蹟如下: 曾多次獲國內學術榮譽獎項，包括科技部傑出研究獎

(1999-2000,2016-2017)、中研院年輕學者著作獎(2000)、數學學會年輕數學家獎(2006)等，其學術貢獻亦深受國際統計界肯定，並獲選為兩大國際統計學會 ASA 與 IMS 之 Fellow，曾獲聘英國 Department of Statistical Science, University College London 之 Chair of Statistics (2008~2010), 能獲此榮銜與國際肯定十分難得。此外，她積極參與國際統計學術事務，擔任眾多期刊(包含 Annals of Statistics 及 JASA)編輯與學會(包含 ASA, ICSA及 IMS)委員會工作，熱心服務並為台灣發聲爭取國際能見度。她在學術研究上的卓越表現及豐富的經驗歷程，已為清大統計所及數學系的學弟妹們樹立了成功的典範。統計所

希望能藉此推薦，鼓勵有志於學術研究的年輕學子，由台灣出發，也能走向國際、成就非凡。在與所系的互動合作上，鄭明燕教授與統計所持續有經常性的互動，我們樂見未來更密切的學術合作交流，並增進校友經驗傳承。

 

鄭明燕 簡歷

Ming-Yen Cheng

 

EDUCATION AND EMPLOYMENT

  • Professor, 2000 -- 2008, 2010 -- , Department of Mathematics, National Taiwan University.
  • Chair of Statistics, 2008 -- 2010, Department of Statistical Science, University College London.
  • Associate Professor, 1998 -- 2000, Department of Mathematics, National Taiwan University.
  • Associate Professor, 1994 -- 1996, 1997 -- 1998, Department of Mathematics, National Chung Cheng University.
  • Research Associate, 1996 -- 1997, Centre for Mathematics and its Applications, Australian National University.
  • Ph.D. Statistics, 1994, University of North Carolina at Chapel Hill.

 

HONORS

  • Fellow of the American Statistical Association, elected 2009.
  • Fellow of the Institute of Mathematical Statistics, elected 2007.
  • Distinguished Professor, National Taiwan University, 2006--.
  • Outstanding Research Award, 1999, 2016 Ministry of Science and Technology (National Science Council).
  • Young Mathematician Award, Mathematical Society of ROC (TMS), 2006.
  • Young Investigator Research Publication Award, 2000, Academia Sinica.
  • Young Researcher Award, 2000, College of Science, National Taiwan University.

 

PROFESSIONAL SERVICES

  • MEMBER, Award Committee, International Chinese Statistical Association, 2016 -- 2017.
  • International Representative, Board of Directors, American Statistical Association, 2014 -- 2016.
  • MEMBER, Committee on Nominations, Institute of Mathematical Statistics, 2007 -- 2008, 2014 -- 2015.
  • MEMBER, Committee on Fellows, Institute of Mathematical Statistics, 2009 -- 2011.
  • MEMBER, Nomination and Election Committee, International Chinese Statistical Association, 2009 -- 2010.
  • CO-CHAIR, Committee on Asia and Pacific Rim Meetings, Institute of Mathematical Statistics, 2014 -- 2016.
  • MEMBER, Committee on Asia and Pacific Rim Meetings, Institute of Mathematical Statistics, 2008 -- 2009, 2012 -- 2014.
  • ASSOCIATE EDITOR, Journal of the American Statistical Assiciation, 2011 -- 2013, 2014 – 2016, 2017--2019.
  • ASSOCIATE EDITOR, The Annals of Statistics, 2004 -- 2006, 2007 -- 2009, 2016 -- 2018.
  • Associate Editor, Econometrics and Statistics, 2016 --.
  • ASSOCIATE EDITOR, Statistica Sinica, 2001 -- 2014.
  • ASSOCIATE EDITOR, Lifetime Data Analysis, January 2005 --.
  • EDITOR, Journal of the Chinese Statistical Association, 2008 -- 2010.
  • ASSOCIATE EDITOR, IMS Lecture Notes and Monograph Series, 2008 -- 2010.
  • Associate Editor, Journal of the Korean Statistical Society, 2008 --.
  • ASSOCIATE EDITOR, Journal of the Chinese Statistical Association, 2006 -- 2008, 2010 -- 2012.
  • ASSOCIATE EDITOR, Tamkang Journal of Mathematics, 2011 -- 2013.
  • Academic Advisory Committee, National Science Council, 2005 -- 2007.
  • Program Committee, Chinese Statistical Association, 2004 --.
  • GRANT PANEL, National Science Council, 1999 -- 2001.
  • EXECUTIVE EDITOR, Journal of the Chinese Statistical Association, 1997 -- 1999.

 

PUBLICATIONS

  1. Zhang, J.-T., J. Guo, B. Zhou, and Cheng, M.-Y. (2017). A simple and adaptive two-sample test in high dimensions based on L^2 norm.
  2. Cheng, M.-Y., Huang, T., Liu, P., and Penh, H. (2017). Bias reduction for nonparametric and semiparametric regression models. Submitted.
  3. Cheng, M.-Y., and Fan, J. (2016). Peter Hall’s contributions to nonparametric function estimation and modeling. Annals of Statistics, 44, 1837-1853.
  4. Cheng, M.-Y., Honda, T., and Li, J. (2016). Efficient estimation in semivarying coefficient models for longitudinal/clustered data. Annals of Statistics, 44, 1988-2017. (arXiv link)
  5. Cheng, M.-Y., Honda, T., and Zhang, J.-T. (2016). Forward variable selection for sparse ultra-high dimensional varying coefficient models. Journal of the American Statistical Association, 111, 1209-1221. (DOI link) (arXiv link)
  1. Cheng, M.-Y., Honda, T., Li, J., and Peng, H. (2014). Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data. Annals of Statistics, 42, 1819--1849. (DOI link) (arXiv link)
  2. Chen, Y.-C., Cheng, M.-Y., and Wu, H.-T. (2014). Nonparametric and adaptive modeling of dynamic seasonality and trend with heteroscedastic and dependent errors. Journal of the Royal Statistical Society Series B, 76, 651--682. (DOI link) (arXiv link)
  3. Cheng, M.-Y., and Wu, H.-T. (2013). Local linear regression on manifolds and its geometric interpretation. Journal of the American Statistical Association, 108, 1421--1434. (DOI link) (arXiv link)
  4. Chen, L.-H., Yang, Y.-H., Chen, C.-S., and Cheng, M.-Y. (2011). Illumination invariant feature extraction based on natural images statistics -- taking face images as an example. Proceedings of the 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 681--688. (DOI link)
  5. Cheng, M.-Y. (2010). Discussion on the paper ``Maximum likelihood estimation of a multi-dimensional log-concave density'' by Cule, Samworth and Stewart, Journal of the Royal Statistical Society Series B, 72, 585--586. (DOI link)
  6. Xue, S. and Cheng, M.-Y. (2010). Nonparametric change-point analysis of gold and petroleum prices and US dollar index. Journal of the Chinese Statistical Association, 48, 45--73.
  7. Cheng, M.-Y., Paige, R.L., Sun, S., and Yan, K. (2010). Variance reduction for kernel estimators in clustered/longitudinal data analysis. Journal of Statistical Planning and Inference, 140, 1389--1397. (DOI link)
  8. Cheng, M.-Y. and Shen, Y.-T. (2009). Estimating the main effect of a covariate in single index models. Journal of the Chinese Statistical Association, 48, 272--296.
  9. Cheng, M.-Y., Qiu, P., Tan, X., and Tu, D. (2009). Nonparametric confidence intervals for the crossing point of two hazard functions. Lifetime Data Analysis, 15, 441--454. (DOI link)
  10. Cheng, M.-Y., Zhang, W., and Chen, L.-H. (2009). Statistical estimation in generalized multiparameter likelihood models. Journal of the American Statistical Association, 104, 1179--1191. (DOI link)
  11. Cheng, M.-Y., and Lee, C.-Y. (2009). Local polynomial estimation of hazard rates under random censoring. Journal of the Chinese Statistical Association, 47, 19--38.
  12. Chen, L.-H., Cheng, M.-Y., and Peng, L. (2009). Conditional variance estimation in heteroscedastic  regression models. Journal of Statistical Planning and Inference, 139, 236--245. (DOI link)
  13. Cheng, M.-Y., and Raimondo, M. (2008). Kernel methods for optimal change-points estimation in derivatives. Journal of Computational and Graphical Statistics, 17, 56--75.
  14. Cheng, M.-Y., Hall, P., and Yang, Y.-J. (2007). Nonparametric inference under dependent  truncation. Dedicated to Sándor Csörgő on the occasion of his 60th Anniversary. ACTA Scientiarum Mathematicarum (Szeged), 73, 397--422
  15. Cheng, M.-Y., Peng, L., and Wu, J.-S. (2007). Reducing variance in univariate smoothing. Annals of Statistics, 35, 522--542. (DOI link) (arXiv link)
  1. Cheng, M.-Y., and Peng, L. (2007). Variance reduction in multiparameter likelihood models. Journal of the American Statistical Association, 102, 293--304.
  2. Cheng, M.-Y. (2006). Choice of the bandwidth ratio in Rice's boundary modification. Journal of the Chinese Statistical Association, 44, 235--251.
  3. Cheng, M.-Y., and Sun, S. (2006). Bandwidth selection for kernel quantile estimation. Journal of the Chinese Statistical Association, 44, 271--295.
  4. Cheng, M.-Y., Peng, L., and Sun, S. (2006). Variance reduction in hazard function estimation. International Journal of Statistics and Systems, 1, 87--110.
  5. Cheng, M.-Y., Hall, P., and Tu, D.S. (2006). Confidence bands for hazard rate under random censorship. Biometrika, 93, 357--366. (OUP Abstract) (OUP PDF)
  6. Cheng, M.-Y., and Hall, P. (2006). Methods for tracking support boundaries with corners. Journal of Multivariate Analysis, 97, 1870--1893. (DOI link)
  7. Cheng, M.-Y., and Peng, L. (2006). Simple and efficient improvements of multivariate local linear  regression. Journal of Multivariate Analysis, 97, 1501--1524. (DOI link)
  8. Cheng, M.-Y., Hall, P., and Hartigan, J.A. (2004). Estimating gradient trees. A Festschrift for Herman Rubin, Ed. A. DasGupta, IMS Lecture notes-Monograph Series, 45, 237 -- 249.
  9. Cheng, M.-Y., Fan, J., and Spokoiny, V. (2003) Dynamic nonparametric filtering with application to volatility estimation.Recent Advances and Trends in Nonparametric Statistics, Eds. M. G. Akritas and

D. N. Politis, 315 -- 333.

  1. Cheng, M.-Y., and Hall, P. (2003). Reducing variance in nonparametric surface estimation. Journal of Multivariate Analysis, 86, 375 -- 397.
  2. Cheng, M.-Y., and Peng, L. (2002). Regression modeling for nonparametric estimation of distribution and quantile functions. Statistica Sinica, 12, 1043 -- 1060.
  3. Cheng, M.-Y., and Hall, P. (2002). Error-dependent smoothing rules in local linear regression. Statistica Sinica, 12, 429 -- 447.
  4. Deng, W.S., Chu, C.K., and Cheng, M.-Y. (2001). A study of local linear ridge regression  estimators. Journal of Statistical Planning and Inference, 93, 225 -- 238.
  5. Cheng, M.-Y., Choi, E., Fan, J., and Hall, P. (2000). Skewing-methods for two parameter  locally-parametric density estimation. Bernoulli, 6, 169 -- 182.
  6. Cheng, M.-Y., and Hall, P. (1999). Mode testing in difficult cases. Annals of Statistics, 27, 1294 -- 1315.
  7. Cheng, M.-Y., Hall, P., and Turlach, B.A. (1999). High-derivative parametric enhancements of nonparametric curve estimators. Biometrika, 86, 417 -- 428.
  8. Cheng, M.-Y., Gasser, Th., and Hall, P. (1999). Nonparametric density estimation under unimodality  and monotonicity constraints. Journal of Computational and Graphical Statistics, 8, 1 -- 21.
  9. Cheng, M.-Y., and Hall, P. (1998). On mode testing and empirical approximations to  distributions. Statistics and Probability Letters, 39, 245 -- 254.
  10. Cheng, M.-Y., and Hall, P. (1998). Calibrating the excess mass and dip tests of modality. Journal of the Royal Statistical Society Series B, 60, 579 -- 589.
  1. Cheng, M.-Y., Hall, P., and Titterington, D.M. (1998). Optimal design for curve estimation by local linear smoothing. Bernoulli, 4, 3 -- 14.
  2. Cheng, M.-Y. (1997). A bandwidth selector for local linear density estimators. Annals of Statistics, 25, 1001 -- 1013.
  3. Cheng, M.-Y., and Wong, I.-R. (1997). Minimax risks in estimating a density and its derivatives. Journal of the Chinese Statistical Association, 35, 363 -- 378.
  4. Cheng, M.-Y. (1997). Boundary aware estimators of integrated density derivative products. Journal of the Royal Statistical Society Series B, 59, 191 -- 203.
  5. Cheng, M.-Y., Fan, J., and Marron, J.S. (1997). On automatic boundary corrections. Annals of Statistics, 25, 1691 -- 1708.
  6. Cheng, M.-Y., Hall, P., and Titterington, D.M. (1997). On the shrinkage of local linear curve estimators. Statistics and Computing, 7, 11 -- 17.