Yang Feng  Dept. of Operations Research & Financial Engineering Princeton University  Phone: (609) 258-9433 Email: yangfeng at princeton dot edu

Research Interests

High-dimensional Modelling, Machine Learning, Variable Selection, Nonparametric and Semi-parametric Statistics, Bioinformatics, etc.

Education   

Ph.D. Candidate,  Advisor: Prof. Jianqing Fan                                               2006-2010 (Expected)        

Thesis Topic: High-dimensional Statistical Learning and Nonparametric Modeling 

Dept. of Operations Research & Financial Engineering, Princeton University  

Visiting Student, Advisor: Prof. Peter Hall                                                     Aug 2009-Nov 2009

Dept. of Mathematics and Statistics, The University of Melbourne

B.S. in Mathematics,                                                                                    2006

Special Class for the Gifted Young,  University of Science and Technology of China

Selected Publications

1. Fan, J., Wu, Y., and Feng, Y.(2009), Local quasi-likelihood with a parametric guide, The Annals of Statistics, 37, 4153-4183. PDF
2. Feng, Y., Ma, W., Wang, Z., Ying, Z. and Yang, Y. (2009), Alignment of protein mass spectrometry data by integrated Markov chain shifting method, Statistics and Its Interface, 2, 329-340. PDF
3. Fan, J. and Feng, Y. (2009), Discussion: Nonparametric Prediction in Measurement Error Models, Journal of the American Statistical Association, 104, 1003–1007. PDF
4. Fan, J., Feng, Y., and Wu, Y. (2009), Network exploration via the adaptive LASSO and SCAD penalties, The Annals of Applied Statistics, 3, 521-541. PDF
5. Fan, J., Feng, Y., Samworth, R., and Wu, Y.,  SIS,  an R package for (Iterative) Sure Independence Screening for Generalized Linear Models and Cox's Proportional Hazards Models,  available from CRAN. 

Manuscripts

1. Fan, J., Feng, Y. and Niu, Y., Nonparametric estimation of genewise variance for cDNA microarray data, manuscript.
2. Fan, J., Feng, Y. and Song, R., Nonparametric independence screening in ultra-high dimensional additive models, manuscript.

Teaching experience

Assistant in Instruction, ORFE 524, Statistical Theory and Methods. (Fall 2008)

Assistant in Instruction, ORFE 245, Engineering Statistics. (Fall 2007, Spring 2008)

Honors and Awards

Other Stuff

Last Update: Oct. 19, 2009.