Papers are in reversed chronological order; Technical reports usually contain more details than the published version.
Published and In Press
Li, Hsu, Peng and Wang (2012). Bootstrap inference for network construction. Annals of Applied Statistics,
Vol. 7, No. 1, 391–417Nguyen, Peng and Jiang (2012). Fence methods for backcross experiments. Journal of Statistical Computation and Simulation, iFirst: 1-19.
Paul and Peng (2011). Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach. Electronic Journal of Statistics, 5: 1960-2003.
Abstract; Full Text; Technical Report (also available at arXiv:0807.1106v1 [stat.ME])
Wang,
Peng and Wang (2011). SNP set analysis for detecting disease association using exon sequence data, BMC Proceedings, 5(Suppl 9).Paul, Peng and Burman (2011). Semi-parametric modeling of autonomous nonlinear dynamical systems with applications, Annals of Applied Statistics, 5(3): 2078-2108.
Abstract; Full Text (with Supp.); Technical Report (also available at arXiv:0906.3501v1 [stat.ME]); R package: dynamics
Jin, Peng and Wang (2010). A generalized Fourier approach to estimating the null parameters and proportion of non-null effects in large-scale multiple testing, Journal of Statistical Research, 44 (1): 103 - 127
Hsu, Peng and Wang (2010). Learning network from high dimensional array data, Fu, W.J., (ed), Fu, W.J., (ed), Book: Frontiers in Computational ans Systems Biology, Vol. 15(Ch 7), Springer, pp. 133-156.
Peng, Zhu, Bergamaschi, Han, Noh, Pollack and Wang (2009). Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer, Annals of Applied Statistics, 4 (1): 53-77
Abstract; Full Text; Technical Report (2008) (also available at arXiv:0812.3671v1 [stat.AP]); R package: remMap (also available on cran: http://cran.r-project.org/ )
Peng, Wang, Zhou and Zhu (2009). Partial Correlation Estimation by Joint Sparse Regression Models, Journal of the American Statistical Association , Vol. 104, No. 486, 735-746
Abstract; Full text (Supp); Technical Report (2008) (also available at arXiv:0811.4463 [stat.ME]); R package: space (also available on cran: http://cran.r-project.org/ )
Peng and Paul (2009). A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data, Journal of Computational and Graphical Statistics, 18(4): 995 - 1015
Abstract; Full text (Accepted Version); Technical Report (2007) (also available at arXiv:0710.5343v1 [stat.ME]); R package: fpca (also available on cran: http://cran.r-project.org/ )
Paul and Peng (2009). Consistency of restricted maximum likelihood estimators of principal components, Annals of Statistics, Vol. 37, NO. 3, 1229-1271
Abstract; Full text (also available at arXiv:0805.0465v1[math.ST])
Peng and Mueller (2008). Distance-based clustering of sparsely observed stochastic processes, with applications to on-line auctions, Annals of Applied Statistics, Vol. 2, No. 3, 1056-1077
Abstract; Full text (also available at arXiv:0805.0463 [stat.AP])
Peng, Wang and Tang (2007). Controlling for False Positive Findings of Trans-Hubs in e-QTL Mapping, BMC Proceedings, 1(Suppl 1): S157
Abstract; Full text; Link to Article
Tang, Peng, Wang, Coram and Hsu (2007) Combining Multiple Family-based Association Studies, BMC Proceedings, 1(Suppl 1): S162
Abstract; Full text; Link to Article
Peng and Siegmund (2006). Mapping Quantitative Traits under Ascertainment, Annals of Human Genetics, Vol 70, Issue 6, 867-881
Abstract; Full text; Link to Article
Peng, Tang and Siegmund (2005). Genome Scans with Gene-Covariate Interaction, Genetic Epidemiology, 29 (3): 173-184
Abstract; Full text (Accepted Version); Link to Article
Tang, Peng, Wang and and Risch (2005). Estimation of Individual Admixture: Analytical and Study Design Considerations, Genetic Epidemiology, 28 (4): 289-301
Abstract; Full text (Accepted Version); Link to Article
Peng and Siegmund (2005). The Admixture Model in Linkage Analysis, Journal of Statistical Planning and Inference, Volume 130, Issues 1-2, 317-324
Peng and Siegmund (2004). Mapping Quantitative Traits with Random and with Ascertained Sibships, Proceedings of the National Academy of Sciences, 101 (21), 7845-7850
Submitted
Carmichael, Chen, Paul and Peng (2011) Performance tradeoff among diffusion tensor image smoothers
Technical Report (also available at arXiv:1011.6298v1 [stat.ME])
Peng and Siegmund (2006). Mapping Quantitative Trait Loci under the Multivariate-T Model.