Peng, J. and Mueller, H. (2008). Distance-based clustering of sparsely observed stochastic processes, with applications to on-line auctions, Accepted by Annals of Applied Statistics [pdf] (http://arxiv.org/abs/0805.0463 [stat.AP])
Paul, D. and Peng J. (2008). Consistency of restricted maximum likelihood estimators in functional principal components analysis, Accepted by Annals of Statistics [pdf] (arXiv:0805.0465v1)
Peng, J., Wang, P. and Tang, H. (2007). Controlling for False Positive Findings of Trans-Hubs in e-QTL Mapping, BMC Proceedings 2007, 1(Suppl 1: S157 [pdf][link]
Tang, H., Peng, J., Wang, P., Coram, M. and Xu, L. (2007) Combining Multiple Family-based Association Studies, BMC Proceedings 2007. 1(Suppl 1: S162 [pdf][link]
Peng, J. and Siegmund, D.(2006). Mapping Quantitative Traits under Ascertainment, Ann. Hum. Genet. Vol 70, Issue 6, 867-881 [pdf][ps][link]
Peng, J., Tang, H-K. and Siegmund, D.(2005). Genome Scans with Gene-Covariate Interaction, Genet. Epidemiol. 29: 173-184 [pdf][ps][link]
Tang, H., Peng, J., Wang, P. and and Risch, N.(2005). Estimation of Individual Admixture: Analytical and Study Design Considerations, Genet. Epidemiol. 28: 289-301[pdf][ps][link]
Peng, J. and Siegmund, D.(2005). The Admixture Model in Linkage Analysis, J. Statist. Planning and Inference, Volume 130, Issues 1-2, 317-324. [pdf][ps] [link]
Peng, J. and Siegmund, D.(2004). Mapping Quantitative Traits with Random and with Ascertained Sibships, Proc. Natl. Acad. Sci. USA 101, 7845-7850. [pdf] [ps][link]
Peng, J. and Paul, D. (2007a). A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data, Submitted [pdf] (arXiv:0710.5343v1 [stat.ME]) (R package: fpca; also available on cran: http://cran.r-project.org/ )
Peng, J. and Paul, D. (2007b). Consistency of restricted maximum likelihood estimators in functional principal components analysis, Submitted [pdf]
Peng, J., Wang, P., Zhou, N.F., and Zhu, J. (2007). Partial Correlation Estimation by Joint Sparse Regression Model [pdf] (R package: space; also available on cran: http://cran.r-project.org/ )
Peng, J. and Siegmund, D. (2006). Mapping Quantitative Trait Loci under the Multivariate-T Model. [pdf]
Peng, J., Tang, H-K.and Siegmund, D.(2005). Information Content of Multipoint Analysis and Efficiency of Two-Stage Genotyping.
Paul, D. and Peng, J. (2007). Covariance estimation for sparse irregular longitudinal data using a kernel smoothing approach.
Jin, J., Peng, J. and Wang, P. (2007). A Unified Approach to Estimating the Proportion of non-Null Effects in Large-scale Multiple Testing.
Oct 3, 2007 A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data ( UC Berkeley, Neyman Seminar)
Aug 14, 2007 Covariance Selection Model by Sparse Regression (International Conference on the Frontiers of Statistics, invited talk)
Jul. 31, 2007 Covariance Selection Model by Sparse Regression (JSM, topic contributed talk)
Jun. 26, 2007 Model Selection for QTL Mapping (BIRS, High dimensional Genetics Data Workshop )
Apr. 25, 2007 Controlling for False Positive Findings of Trans-Hubs in e-QTL Mapping (Fred Hutch Cancer Research Center, Biostatistics Seminar)
Jul. 28, 2006 Mapping Quantitative Trait Loci under the Multivariate-T Model (IBC, contributed talk)[pdf]
Aug 7, 2005 Genome Scan with Gene-Covariate Interaction (JSM, contributed talk)
Jul. 9, 2005 QTL Mapping under Ascertainment (CSPS/IMS, contributed talk) [pdf] [ps]
Jun. 22, 2005 Microsatellites and SNPs: Study of Threshold and Power (WNAR, contributed talk) [pdf] [ps]
May 2, 2003 Single Locus QTL model with Ascertainment (Industrial Affiliates Conference, talk) [pdf] [ps]
Nov. 5, 2003 Ascertainment Corrections in Variance-Component Model (ASHG annual meeting, poster) [pdf] [ps]
Nov. 6, 2003 Information Content of Multipoint Analysis and Efficiency of Two-Stage Genotyping (ASHG annual meeting, poster)[pdf] [ps]