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Preprints

 

·                Yan H., Carmichael O., Paul D., and J. Peng. Estimating fiber orientation distribution from diffusion MRI with spherical needlets (2017). Submitted to Medical Imaging Analysis. [arXiv:1612.07439]

·                Conley C., Umut Ozbek, Wang P., and J. Peng. Characterizing functional consequences of DNA copy number alterations in breast and ovarian tumors by spaceMap (2017).  Submitted. [bioRxiv: 10.1101/248229]

·                Li H., Aue A., Paul D., J. Peng, and Wang, P. An adaptable generalization of Hotelling's $T^2$ test in high dimension (2017). Submitted.  [arXiv:1609.08725]

·                Wang R. and J. Peng. Learning directed acyclic graphs via bootstrap aggregating (2014).  [arXiv:1406.2098]

 

Publications

 

·                Zhou S., Paul D., and J. Peng. Modeling subject-specific nonautonomous dynamics (2018). Statistica Sinica 28 (2018), 423-447. [pdf]

·                Choi Y., Coram M., J. Peng, and Tang H. A Poisson Log-Normal model for constructing gene covariation network using RNA-seq data (2017).  Journal of Computational Biology, 24(7):721-731. [pdf]

·                An C., Ichihashi Y., J. Peng, Sinha N.R., Hagiwara N. (2016). Transcriptome dynamics and potential roles of Sox6 in the postnatal heart.  PloS One 11(11): e0166574. [html]

·                Paul D., J. Peng, and P. Burman. Nonparametric estimation of dynamics of monotone trajectories (2016).  The Annals of Statistics, Vol. 44, No. 6, 2401-2432. [pdf]

·                Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Rejoinder: Fiber direction estimation, smoothing and tracking in diffusion MRI (2016). The Annals of Applied Statistics, 10(3): 1166-1169. [pdf]

·                Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Fiber direction estimation, smoothing and tracking in diffusion MRI (with Discussion)  (2016). The Annals of Applied Statistics, 10(3): 1137-1156. [pdf]

·                Chitwood, DH, Ranjan, A, Kumar, R, Ichihashi, Y, Zumstein, K, Headland, LR, Ostria-Gallardo, E, Aguilar-Martínez, JA, Bush, S, Carriedo, L, Fulop, D, Martinez, CC, J Peng, Maloof, JN, Sinha, NR. Resolving distinct genetic regulators of tomato leaf shape within a heteroblastic and ontogenetic context (2014). The Plant cell, 26(9): 3616-29. [pdf]

·                Ichihashi, Y., J.A. Aguilar-Mart\'{i}nez, M. Farhi, D.H. Chitwood, R. Kumar, L.V. Millon, J. Peng, J.N. Maloof, and N.R. Sinha. Evolutionary developmental transcriptomics reveals a gene network module regulating inter-specific diversity in plant leaf shape. (2014). Proceedings of the National Academy of Sciences, 111(25): E2616-21. [pdf]

·                Peng, J., D. Paul, and H.G. Mueller. Time-warped growth processes, with applications to the modeling of boom-bust cycles in house prices (2014). Annals of Applied Statistics. Volume 8, Number 3, 1561-1582. [pdf] [supplementary]

·                Chitwood, D., R. Kumar, L.R. Headland, A. Ranjan, M.F. Covington, Y. Ichihashi, D. Fulop, J. M. Jim\'{e}nez-G\'{o}mez, J. Peng, J.N. Maloof, and N.R. Sinha. A quantitative genetic basis for leaf morphology in a set of precisely defined tomato introgression lines (2013). Plant Cell, 25(7): 2465-2481. [pdf+html]

·                Koenig, D., J.M. Jim\'{e}nez-G\'{o}mez, S. Kimura, D. Fulop, D.H. Chitwood, L.R. Headland, R. Kumar, M. F. Covington,U.K. Devisetty, A.V. Tat, T. Tohge, A. Bolger, K. Schneeberger, S. Ossowski, C. Lanz, G. Xiong, M. Taylor-Teeples, S. M. Brady, M. Pauly, D. Weigel, B. Usadel, A. R. Fernie, J. Peng, N.R. Sinha, and J.N. Maloof. Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato (2013). Proceedings of the National Academy of Sciences, 110(28): 2655-2662. [pdf+html]

·                Li, S., L. Hsu, J. Peng, and P. Wang. Bootstrap inference for network construction with an application to a breast cancer microarray study (2013). The Annals of Applied Statistics, 7(1): 391-417.  [pdf]

·                Carmichael, O., J. Chen, D. Paul, and J. Peng. Diffusion tensor smoothing through weighted Karcher means (2013). Electronic Journal of Statistics, 7(0): 1913-1956.
[pdf]   

·                Kumar, R., Y. Ichihashi, S. Kimura, D.H. Chitwood, L.R. Headland, J. Peng, J.N. Maloof, and N.R. Sinha. A high-throughput method for Illumina RNA-Seq library preparation (2012). Frontiers in Plant Science, 3(202): 1-10.  [html]

·                Nguyen, T., J. Peng, and J. Jiang (2012). Journal of Statistical Computation and Simulation, 84(3): 644-662. [pdf]

·                Viswanath, V., E. Fletcher, B. Singh, N. Smith, D. Paul, J. Peng, J. Chen, and O. Carmichael. Impact of DTI smoothing on the study of brain aging (2012). 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 34: 94-97. [pdf]

·                Chitwood, D.H., L.R. Headland, R. Kumar, J. Peng, J.N. Maloof, and N.R. Sinha. The developmental trajectory of leaflet morphology in wild tomato species (2012). Plant Physiology, 158(3): 1230-1240.  [pdf+html]

·                Chitwood, D.H., L.R. Headland, D.L. Filiault, R. Kumar, J.M. Jim\'{e}nez-G\'{o}mez, A.V. Schrager, D.S. Park, J. Peng, N.R. Sinha and J.N. Maloof. Native environment modulates leaf size and response to simulated foliar shade across wild tomato species (2012). PLoS ONE, 7(1): e29570.  [pdf]

·                Paul, D. and J. Peng. Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach (2011). Electronic Journal of Statistics, 5: 1960-2003. [pdf]

·                Wang, Peng and  Wang (2011). SNP set analysis for detecting disease association using exon sequence data, BMC Proceedings, 5(Suppl 9). Full Text

·                Paul, Peng and Burman (2011). Semi-parametric modeling of autonomous nonlinear dynamical systems with applications, Annals of Applied Statistics, 5(3): 2078-2108. [pdf], [supplementary]

·                 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 [pdf]

·                 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. [link]

·                Peng, Zhu, Bergamaschi, Han, Noh, Pollack and Wang (2010). Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer, Annals of Applied Statistics, 4 (1): 53-77 [pdf]

·                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 [pdf], [supplementary]

·                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  [pdf]

·                Paul and Peng (2009). Consistency of restricted maximum likelihood estimators of principal components, Annals of Statistics, Vol. 37, NO. 3, 1229-1271 [pdf]

·                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    [pdf]

·                Peng, Wang and Tang (2007). Controlling for False Positive Findings of Trans-Hubs in e-QTL Mapping, BMC Proceedings, 1(Suppl 1): S157 [link]

·                Tang, Peng, Wang, Coram and Hsu (2007). Combining Multiple Family-based Association Studies, BMC Proceedings, 1(Suppl 1): S162 [link]

·                Peng and Siegmund (2006). Mapping Quantitative Traits under Ascertainment, Annals of Human GeneticsVol 70, Issue 6, 867-881  [pdf]

·                Peng, Tang and Siegmund (2005). Genome Scans with Gene-Covariate Interaction, Genetic Epidemiology29 (3): 173-184  [pdf]

·                Tang, Peng, Wang and and Risch (2005). Estimation of Individual Admixture: Analytical and Study Design Considerations, Genetic Epidemiology, 28 (4): 289-301 [pdf]

·                Peng and Siegmund (2005). The Admixture Model in Linkage Analysis, Journal of Statistical Planning and Inference, Volume 130, Issues 1-2, 317-324 [pdf]

·                Peng and Siegmund (2004). Mapping Quantitative Traits with Random and with Ascertained Sibships, Proceedings of the National Academy of Sciences, 101 (21), 7845-7850 [pdf] [link]