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Recent School Publications

2015 publications

Emma S. Spiro, Almquist, Z.W., Carter T. Butts (in press) "The Persistence of Division:Geography, Institutions, and Online Friendship Ties", Socius: Sociological Research for a Dynamic World DOI:10.1177/2378023116634340

Carter T. Butts,Almquist, Z.W. (2015) "A Flexible Parameterization for Baseline Mean Degree in Multiple Network ERGMs", The Journal of Mathematical Sociology 39(3), 163167. DOI:10.1080/0022250X.2014.967851

Almquist, Z.W., Carter T. Butts. (2015) "Predicting Regional Self-identification from Spatial Network Modelsquot;, Geographical Analysis 47(1), 5072. DOI: 10.1111/gean.12045

Cook, R. D. and Zhang, X. (2015). "Simultaneous envelopes for multivariate linear regression." Technometrics. doi: 10.1080/00401706.2013.872700

Ding, S. and Cook, R.D. (2015). "Tensor sliced inverse regression." Journal of Multivariate Analysis 133, 216-231. doi: 10.1016/j.jmva.2014.08.015

Cook, R. D. and Zhang, X. (2015). "Foundations for envelope models and methods." Journal of the American Statistical Association, . doi: 10.1080/01621459.2014.983235

Cook, R. D., Forzani, L.,Zhang, X. (2015) "Envelopes and reduced rank regression", Biometrika 102, 439-456. DOI:10.1093/biomet/asv001

Cook, R. D., Zhang, X. (2015) "Foundations for envelope models and methods", Journal of the American Statistical Association 110,599-611. DOI:10.1080/01621459.2014.983235

Cook, R. D., Zhang, H. (2015) "Simultaneous envelopes for multivariate linear regression", Technometrics 57, 11-25. DOI:10.1080/00401706.2013.872700

Cook, R. D., Su, Z.,Yang, Y. (2015) "envlp: A MATLAB Toolbox for Computing Envelope Estimators in Multivariate Analysis", Journal of Statistical Software DOI:10.18637/jss.v062.i08

Ding, S., Cook, R.D. (2015) "Tensor sliced inverse regression", Journal of Multivariate Analysis 133, 216-231. DOI:10.1016/j.jmva.2014.08.015

Carr A, Grund B, Neuhaus J, Schwartz A, Bernardino JI, White D, et al. "Prevalence of and risk factors for low bone mineral density in untreated HIV infection: a substudy of the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial." HIV Med. 2015;16 Suppl 1:137-46. DOI 10.1111/hiv.12242 PCMCID: 4341957 URL http://www.ncbi.nlm.nih.gov/pubmed/25711332

INSIGHT START Study Group, Lundgren JD, Babiker AG, Gordin F, Emery S, Grund B, et al. "Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection" The New England Journal of Medicine. 2015;373(9):795-807. DOI 10.1056/NEJMoa1506816 URL http://www.nejm.org/doi/full/10.1056/NEJMoa1506816

Wright EJ, Grund B, Cysique LA, Robertson KR, Brew BJ, Collins G, et al. "Factors associated with neurocognitive test performance at baseline: a substudy of the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial" HIV Med. 2015;16 Suppl 1:97-108. DOI 10.1111/hiv.12238 URL: http://www.ncbi.nlm.nih.gov/pubmed/25711328

Gruson D, Ferracin B, Ahn SA, Zierold C, Blocki F, Hawkins DM, Bonelli F, Rousseau MF. "1,25-Dihydroxyvitamin D to PTH(1-84) Ratios Strongly Predict Cardiovascular Death in Heart Failure" PLoS One. 2015 Aug 26;10(8):e0135427. DOI 10.1371/journal.pone.0135427

Moore, R G, Hawkins, D M, Miller, C M, Landrum, L M, Gajewski, W, Ball, J J, Allard, J W; Skates, S J, "Combining clinical assessment and the Risk of Ovarian Malignancy Algorithm for the prediction of ovarian cancer" Gynecologic Oncology 2014 135 547-551 DOI: 10.1016/j.ygyno.2014.10.017

Gruson D, Ferracin B, Ahn SA, Zierold C, Blocki F, Hawkins D.M., Bonelli F, Rousseau MF. (2015) "1,25-Dihydroxyvitamin D to PTH(1-84) Ratios Strongly Predict Cardiovascular Death in Heart Failure", PLoS One 26;10(8):e0135427. DOI: 10.1371/journal.pone.0135427.0135427.

Moore RG, Hawkins D.M., Miller CM, Landrum LM, Gajewski W, Ball JJ, Allard JW, Skates SJ, (2014) "Combining clinical assessment and the Risk of Ovarian Malignancy Algorithm for the prediction of ovarian cancer", Gynecologic Oncology. 135 547-551 DOI: 10.1016/j.ygyno.2014.10.017

Helwig N.E., Gao, Y., Wang, S., Ma, P. (2015) "Analyzing spatiotemporal trends in social media data via smoothing spline analysis of variance.", Spatial Statistics 14(C), 491-504. DOI:10.1016/j.spasta.2015.09.002

Helwig N.E., Ma, P. (2015) "Fast and stable multiple smoothing parameter selection in smoothing spline analysis of variance models with large samples.", Journal of Computational and Graphical Statistics, 24(3), 715-732. DOI: 10.1080/10618600.2014.926819

Helwig N.E.(in press) "Efficient estimation of variance components in nonparametric mixed-effects models with large samples" Statistics and Computing, Just Accepted DOI: 10.1007/s11222-015-9610-5 [Accepted]

Zhu, Y., Shen, X., and Ye, C. (2015). "Personalized prediction and sparsity pursuit in latent factor models" Journal of the American Statistical Association. DOI 10.1080/01621459.2014.999158

Yang, S., Lu, Z., Shen, X., Wonka, P., and Ye, J. (2015). "Fused multiple graphical Lasso" SIAM Journal on Optimization, 25, 916-943. DOI 10.1137/130936397

Xiang, S, Shen, X., and Ye, J. (2015). "Efficient sparse group feature selection via continuous and discrete optimization" Artificial Intelligence. 224, 28-50. DOI 10.1016/j.artint.2015.02.008

Austin, E., Shen, X., and Pan, W. (2015) "A novel statistic for global assocaition testing based on penalized regression" Genetic Epidemiology. , 39, 415-426. DOI 10.1002/gepi.21915

Wang, J., Shen, X., Qu, P, and Sun, Y. (2015). "Classification with unstructured predictors with an application to sentiment analysis" Journal of the American Statistical Association DOI 10.1080/01621459.2015.1089771

2014 publications

Almquist, Z. W. and C. T. Butts (2014), "Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics." Sociological Methodology. http://smx.sagepub.com/content/early/2014/03/06/0081175013520159

Boessen, A., J. R. Hipp, E. J. Smith, C. T. Butts, N. N. Nagle, and Z. W. Almquist (2014), "Networks, Space, and Residents’ Perception of Cohesion" American Journal of Community Psychology DOI:10.1007/s10464-014-9639-1.

Cook, R. D. and Zhang, H. (2014). "Fused estimators of the central subspace in sufficient dimension reduction." Journal of the American Statistical Association, 109, 815-827. doi: 10.1080/01621459.2013.866563.

Ding, S. and Cook, R. D. (2014). "Dimensional folding PCA and PFC for matrix-valued predictors." Statistica Sinica, 24, 463-492. doi: http://dx.doi.org/10.5705/ss.2012.138

Hawkins, D. M. and Wu, Q., (2014) "The CUSUM and the EWMA Head-to-Head" Quality Engineering. 26, 215-222 http://dx.doi.org/10.1080/08982112.2013.817014

Hawkins, D. M., (2014), "A Model for Assay Precision" Statistics in Biopharmaceutical Research http://dx.doi.org/10.1080/19466315.2014.899511

Hawkins, D. M. and Lombard, F., (2014), "Segmentation of Circular Data" Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2014.934665

Reicks, M., Degeneffe, D., Rendahl, A., et.al. (2014) "Associations between eating occasion characteristics and age, gender, presence of children and BMI among U.S. adults." Journal of the American College of Nutrition, 33(4):315-27. Epub 20 Aug 2014. doi: 10.1080/07315724.2014.887485

Bobowski, N., Rendahl, A., Vickers, Z. (2014) "A longitudinal comparison of two salt reduction strategies: acceptability of a low sodium food depends on the consumer." Food Quality and Preference, in press. Epub 12 Aug 2014. DOI:http://dx.doi.org/10.1016/j.foodqual.2014.07.019

Bobowski, N., Rendahl, A., Vickers, Z. (2015) "Preference for salt in a food may be alterable without a low sodium diet." Food Quality & Preference, 39:40-45. Epub 20 June 2014. doi: 10.1016/j.foodqual.2014.06.005

Pieters, M., Rendahl A., (2014) "Intra-farm risk factors for Mycoplasma hyopneumoniae colonization at weaning age. " Veterinary Microbiology, 27 Aug 172(3-4):575-80. Epub 4 Jun 2014. doi: 10.1016/j.vetmic.2014.05.027

Martinson, K.L., Coleman, R.C., Rendahl, A.K., et. al. (2014) "Estimation of body weight and development of a body weight score for adult equids using morpho- metric measurements." Journal of Animal Science, 92(5):2230-38. Epub 18 Mar 2014. doi: 10.2527/jas.2013-6689

Fritz, K.L., Kaese, H.J., Valberg, S.J., Hendrickson, J.A., Rendahl, A.K., et. al. (2014) "Genetic risk factors for insidious equine recurrent uveitis in Appaloosa horses" Animal Genetics, 45:392-399. doi: 10.1111/age.12129

Kelley, J., Sharkey L.C., Christopherson P., Rendahl A., (2014), "Platelet count and plateletcrit in Cavalier King Charles Spaniels and Greyhounds using the Advia 120/2120." Veterinary Clinical Pathology, Mar 2014;43(1):43-49. doi: 10.1111/vcp.12116

Zhang, Y. and Shen, X. (2014). "Adaptive modeling procedure selection by data perturbation." Journal of Business and economic statistics. doi:10.1080/07350015.2014.965307.

Kim, S, Pan, W. and Shen, X. (2014). "Penalized regression approaches to testing for quantitative trait-rare variant association." Frontiers in Genetics, 5:121 doi: 10.3389/fgene.2014.00121

Zhu, Y., Shen, X. and Pan, W. (2014). "Structural pursuit over multiple undirected graphs." Journal of American Statistical Association. doi::10.1080/01621459.2014.921182.

Pan, W., Kim, J., Zhang, Y., Shen, X. and Wei, P. (2014). "A powerful and adaptive association test for rare variants." Genetics, 197, 1-15. (Chosen by the GENETICS Editors as one of the August 2014 Highlights.) doi: 10.1534/genetics.114.165035.

Kim, J., Wonzniak, J., Mueller, B, Shen, X., and Pan, W. (2014). "Comparison of statistical tests for group differences in brain functional networks." NeuroImage. doi: 10.1016/j.neuroimage.2014.07.031.

Xu, Z., Shen, X., and Pan, W. (2014). "Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association with neuroimaging phenotypes." Plos One doi: 10.1371/journal.pone.0102312.

Kushnir, H., Weisberg, S., Olson, E., et. al. , (2014), "Using landscape characteristics to predict risk of lion attacks on humans in south-eastern Tanzania" African Journal of Ecology 52, 4, 1365-2028 doi: 10.1111/aje.12157

Xu, G., Lin, G. and Liu, J. (2014), "Rare-Event Simulation for the Stochastic Korteweg--de Vries Equation", SIAM/ASA J. Uncertainty Quantification, 2(1), 698-716. doi: 10.1137/130944473

Xu, G., Sen, B. and Ying, Z. (2014), "Bootstrapping a Change-Point Cox Model for Survival Data." Electronic Journal of Statistics 8, 1345-1379. DOI: http://dx.doi.org/10.1214/14-EJS927

Liu, J. and Xu, G. (2014), "On the Conditional Distributions and the Efficient Simulations of Exponential Integrals of Gaussian Random Fields." The Annals of Applied Probability 24(4), 1691-1738. DOI: http://dx.doi.org/10.1214/13-AAP960

Liu, J. and Xu, G. (2014), "Efficient Simulations for the Exponential Integrals of Hölder Continuous Gaussian Random Fields." The ACM Transactions on Modeling and Computer Simulation 24(2), 9:1--9:24. DOI: http://dx.doi.org/10.1145/2567892

Sen, B. and Xu, G. (2014), "Model based bootstrap methods for interval censored data." Computational Statistics and Data Analysis. DOI: http://dx.doi.org/10.1016/j.csda.2014.07.007

Chen, Y., Liu, J., Xu, G. and Ying, Z. (2014), "Statistical Analysis of Q-matrix Based Diagnostic Classification Models.@quot; Journal of the American Statistical Association DOI: 10.1080/01621459.2014.934827

Wang, Z., Paterlini, S., Gao, F., and Yang, Y. (2014) "Adaptive minimax regression estimation over sparse $\ell_q$-hulls" Journal of Machine Learning Research, 15, 1675-1711. http://jmlr.org/papers/volume15/wang14b/wang14b.pdf.

Yang, Y. and Zou, H. (2014). "A Coordinate Majorization Descent Algorithm for L1 Penalized Learning" Journal of Statistical Computation and Simulation, 84(1), 84-95. DOI:10.1080/00949655.2012.695374

Yang, Y. and Zou, H. (2013). "Nonparametric Multiple Expectile Regression via ER-Boost" Journal of Statistical Computation and Simulation http://dx.doi.org/DOI:10.1080/00949655.2013.876024

Xue, L. and Zou, H. (2014). "Optimal Estimation of Sparse Correlation Matrices of Semiparametric Gaussian Copula" Statistics and Its Interface, 7(2), 201-209. http://dx.doi.org/10.4310/SII.2014.v7.n2.a5

Fan, J., Xue, L. and Zou, H. (2014). "Strong Oracle Properties of Folded Concave Penalized Estimation" Annals of Statistics, 42(3), 819-849. DOI: 10.1214/13-AOS1198

Zhang, T. and Zou, H. (2014). "Sparse Precision Matrix Estimation via Lasso Penalized D-Trace Loss" Biometrika, 101(1), 103-120. doi: 10.1093/biomet/ast059

Xue, L. and Zou, H. (2014). "Rank-based Tapering Estimation of Bandable Correlation Matrices" Statistica Sinica, 24(1), 83-100. http://dx.doi.org/10.5705/ss.2012.052

Zou, H. (2014). "Generalizing Koenker's Distribution" Journal of Statistical Planning and Inference, In Press. http://dx.doi.org/10.1016/j.jspi.2013.12.004

Mai, Q. and Zou, H. (2014). "Nonparametric Variable Transformation in Sufficient Dimension Reduction" Technometrics DOI: 10.1080/00401706.2014.901254

2013 publications

Almquist, Z. W., and Butts, C. T., (2013) "Dynamic Network Logistic Regression: A Logistic Choice Analysis of Inter- and Intra-group Blog Citation Dynamics in the 2004 US Presidential Election", Political Analysis, 21 (4), 430--448 DOI:10.1093/pan/mpt016 http://pan.oxfordjournals.org/content/21/4/430.abstract

Chen, K. C., , Steinhaeuser, K., Boriah, S., Chatterjee, S.,, and Kumar V., "Contextual Time Series Change Detection" 13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 http://knowledgecenter.siam.org/318SDM/

Ganguly, A.R., Kodra, E., Chatterjee, S., Banerjee, A., and Najm, H. N., "Computational data sciences for actionable insights on climate extremes and uncertainty Section II: Computational Intelligent Data Analysis for Climate Change, Chapter 5, page 127-158" In Computational Intelligent Data Analysis for Sustainable Development, Edited by T. Yu, S. Simoff, N. Chawla, CRC Press, 440 pages. April 2013, ISBN:9781439895948 http://www.crcpress.com/product/isbn/9781439895948

Li, Z., Qiu, P., Chatterjee, S., and Wang, Z., (2013) "Using p-values to design statistical process control charts," Statistical Papers , 54, 523--539. http://link.springer.com/article/10.1007%2Fs00362-012-0447-0

James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee, (2013) "A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics" ICDM 151-160 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6729499

Cook, R.D., and Su Z. (2013) "Scaled envelopes: scale-invariant and efficient estimation in multivariate linear regression", Biometrika, http://dx.doi.org/10.1093/biomet/ast026

Cook, R.D.,Helland, I. and Su, Z. (2013) "Envelope models and partial least squares regression", Journal of the Royal Statistical Society B, 75, 851--877. "http://dx.DOI.org/10.1111/rssb.12018"

Albrecht, M. C., Nachtsheim, C. J., Albrecht, T. A. and Cook, R. D. (2013) "Experimental design for engineering dimensional analysis (with discussion)." Technometrics 55, 257-270. DOI: http://dx.doi.org/10.1080/00401706.2012.746207

Su, Z. and Cook, R. D. (2013), "Estimation of multivariate means with heteroscedastic errors using envelope models", Statistica Sinica 23, 213-230. http://dx.doi.org/10.5705/ss.2010.240

Cook, R. D., Forzani, L. and Rothman, A. J. (2013) "Prediction in abundant high-dimensional linear regression" Electronic Journal of Statistics, Vol. 7, 3059-3088. http://dx.doi.org/10.1214/13-EJS872

Doss C. R., Suchard M. A., Holmes I., Kato-Maeda M., and Minin V. N. (2013) "Fitting Birth-Death Processes to Panel Data with Applications to DNA Bacterial DNA Fingerprinting" , Annals of Applied Statistics http://arxiv.org/abs/1009.0893

Geyer, C.J. (2013) "Asymptotics of Maximum Likelihoodwithout the LLN or CLT or Sample Size Going to Infinity", Advances in Modern Statistical Theory and Applications: A Festschrift in honor of Morris L. Eaton, G.L. Jones and X. Shen eds IMS Collections, Vol. 10, pp. 1-24. Institute of Mathematical Statistics: Hayward, CA. http://dx.doi.org/10.1214/13-BA804

Geyer, C.J., Ridley, C.E., Latta, R.G., Etterson, J.R and Shaw, R. G. (2013) "Local Adaptation and Genetic Effects on Fitness: Calculations for Exponential Family Models with Random Effects", Annals of Applied Statistics, 7, 1778-1795. http://dx.doi.org/10.1214/13-AOAS653

Grund, B., Wright, E.J., Brew, B.J., Price, R.W., Roediger, M.P., Bain, M.P., Hoy, J.F., Shlay, J.C., Robertson, K.R., for the INSIGHT SMART Study Group (2013) "Improved neurocognitive test performance in both arms of the SMART study: Impact of practice effect", Journal of NeuroVirology, 19(4):383-92. DOI: 10.1007/s13365-013-0190-x http://www.ncbi.nlm.nih.gov/pubmed/23943468

Hoy, J., Grund, B., Roediger, M., Ensrud, K.E., Brar, I., Colebunders, R., De Castro, N., Johnson, M., Sharma, A., Carr, A., for the INSIGHT SMART Body Composition Substudy Group (2013) "Interruption or deferral of antiretroviral therapy reduces markers of bone turnover compared with continuous therapy: The SMART Body Composition substudy", J Bone Mineral Research, 28(6):1264-74. DOI: 10.1002/jbmr.1861 http://www.ncbi.nlm.nih.gov/pubmed/23299909

Babiker, A.G., Emery, S., Fätkenheuer, G., Gordin, F.M., Grund, B., Lundgren, J.D., Neaton, J.D., Pett, S.L., Phillips, A., Touloumi, G., Vjechaj, M.J., for the INSIGHT START Study Group (2013) "Considerations in the rationale, design and methods of the Strategic Timing of AntiRetroviral Treatment (START) study", Clinical Trials, 10(1 Suppl):S5-S36. DOI: 10.1177/1740774512440342. Epub 2012 Apr 30. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664112/

Hawkins, D. M., (2013) "A General Variance Model for Methods Comparison", Journal of Chemometrics, http://dx.doi.org/10.1002/cem.2550

Hawkins, D. M. and Maboudou-Tchao, E. M., (2013) "Smoothed Linear Modeling for Smooth Spectral Data.", International Journal of Spectroscopy, http://dx.doi.org/10.1155/2013/604548

Fogel, P., Hawkins, D. M., Beecher, C., Luta, G., and Young, S. S., (2013) "A Tale of Two Matrix Factorizations", The American Statistician, http://dx.doi.org/10.1080/00031305.2013.845607

Zamba, K. D., Tsiamyrtzis, P., and Hawkins, D. M., (2013) "A Three-State Recursive Sequential Bayesian Algorithm for Biosurveillance", Computational Statistics and Data Analysis, 58, 82-97. http://dx.DOI.org/10.1016/j.csda.2011.04.015

Maboudou-Tchao, E., M., and Hawkins, D. M., (2013), "Detection of Multiple Change-Points in Multivariate Data", Journal of Applied Statistics 40, 1979-1995. http://dx.doi.org/10.1080/02664763.2013.800471

Cai, T., Fan, J., and Jiang, T., (2013) "Distributions of Angles in Random Packing on Spheres", Journal of Machine Learning Research, 14, 1837-1864 http://jmlr.org/papers/v14/cai13a.html

Jiang, T., (2013) "Limit Theorems on Beta-Jacobi Ensembles", Bernoulli, 19(3), 1028-1046 http://dx.doi.org/10.3150/12-BEJ495

Jiang, T. (2013). "Distributions of Eigenvalues of Large Euclidean Matrices Generated from lp Balls and Spheres", Linear Algebra and its Applications. http://dx.doi.org/10.1016/j.laa.2013.09.048

T. Jiang and F. Yang (2013), " Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions" Ann. Stat. 41(4), 2029-2074. http://dx.doi.org/10.1214/13-AOS1134

Shen, X., and Pan, W. (2013) "Semi-supervised spectral clustering with application to detect population stratification", Frontiers in Statistical Genetics and Methodology http://dx.DOI.org/10.3389/fgene.2013.00215.

Liu, B., Shen, X., and Pan, W. (2013) "Semi-supervised spectral clustering with application to detect population stratification", Frontiers in Statistical Genetics and Methodology http://dx.DOI.org/10.3389/fgene.2013.00215.

Shen, X., Pan, W., Zhu, Y., and Zhou, H. (2013). "On constrained and regularized high-dimensional regression," The Annals of the Institute of Statistical Mathematics. 65, 807-32. http://dx.doi.org/10.1007/s10463-012-0396-3

Zhu, Y., Shen, X., and Pan, W. (2013). "Simultaneous grouping pursuit and feature selection in regression over an undirected graph." Journal of the American Statistical Association, 108, 713-725. http://dx.doi.org/10.1080/01621459.2013.770704

Kim, S., Pan, W. and Shen, X. (2013). "A network-based penalized regression method with application to genomic data." Biometrics, 69, 582–593. http://dx.doi.org/10.1111/biom.12035

Liu, B., Shen, X. and Pan, W. (2013). "Semi-supervised spectral clustering with application to detect population stratification," Frontiers in Statistical Genetics and Methodology. http://dx.doi.org/10.3389/fgene.2013.00215

Xiang, S., Ye, J., and Shen, X. (2013). "Efficient sparse group feature selection via nonconvex optimization", Proceedings of the 2013 International Conference on Machine Learning and Applications in Atlanta, Georgia. http://jmlr.org/proceedings/papers/v28/xiang13.pdf

Pan, W., Shen, X. and Liu, B. (2013). "Cluster analysis: Unsupervised learning via supervised learning with a noncovex penalty," Journal of Machine Learning Research 14, 1865-1889. http://jmlr.org/papers/volume14/pan13a/pan13a.pdf

He, X., Wang, L. and Hong, H. (2013) "Quantile-adaptive model-free nonlinear feature screening for high-dimensional heterogeneous data", Annals of Statistics, 41, 342-369. http://dx.doi.org/10.1214/13-AOS1087

Luo, X.H., Huang, C.Y. and Wang, L. (2013) "Quantile regression for recurrent gap time data", Biometrics, 69, 375-385. http://dx.doi.org/10.1111/biom.12010

Wang, L., Kim, Y.D. and Li, R. (2013) "Calibrating non-convex penalized regression in ultra-high dimension," Annals of Statistics, 41, 2505-2536. http://dx.doi.org/10.1214/13-AOS1159SUPP

Wang, L., Kai, B., Cedric,H. and Tsai, CL. (2013) "Penalized profiled semiparametric estimating functions." Electronic Journal of Statistics, 7, 2656-2682. http://dx.doi.org/10.1214/13-EJS859

Fox, J., Friendly, M., and Weisberg, S., (2013) "Hypothesis Tests for Multivariate Linear Models Using the car package", The R Journal, 5(1), 39--53. URL=http://journal.r-project.org/archive/2013-1/fox-friendly-weisberg.pdf

Jayanthi , S., and Weisberg, S., (2013) "The Effects of Cognitive: Linguistic Variables and Language Experience on Behavioural and Kinematic Performances in Nonword Learning", Journal of Psycholinguistic Research, 4, 1-16. http://dx.doi.org/10.1007/s10936-012-9218-2

Liu, J. and Xu, G. (2013) "On the Density Functions of Integrals of Gaussian Random Fields", Advances in Applied Probability, 45(2), 398-424. http://dx.doi.org/10.1239/aap/1370870124

Luo, X., Xu, G., and Ying, Z. (2013) "Sequential Analysis of the Cox Model under Response Dependent Allocation", Statistica Sinica, 23, 1761-1774. http://dx.doi.org/10.5705/ss.2012.147s

Liu, J., Xu, G., and Ying, Z. (2013) "Theory of self-learning Q-matrix" Bernoulli, 19(5A), 1790-1817. http://dx/DOI/org/10.3150/12-BEJ430.

Rempala, G.A. and Yang, Y. (2013) "On permutation procedures for strong control in multiple testing with gene expression data", Statistics and its Interface, 6, 79-89. DOI: http://dx.doi.org/10.4310/SII.2013.v6.n1.a8

Qian, W. and Yang, Y. (2013) "Model selection via standard error adjusted adaptive lasso", Annals of the Institute of Statistical Mathematics, 65, 295-318. http://dx.doi.org/10.1007/s10463-012-0370-0

Liu, S. and Yang, Y. (2013) "Mixing partially linear regression models", Sankhya A, 75, 74-95. http://dx.doi.org/10.1007/s13171-012-0017-5

Nan, Y. and Yang, Y. (2013) "Variable Selection Diagnostics Measures for High-Dimensional Regression", Journal of Computational and Graphical Statistics, in print. http://dx.doi.org/10.1080/10618600.2013.829780

Gao, F., Ing, C.K., and Yang, Y. (2013) "Metric entropy and sparse linear approximation of Lq -hulls for 0 < q ≤ 1", Journal of Approximation Theory, 166, 42-55. doi = http://dx.doi.org/10.1016/j.jat.2012.10.002

Rolling, C.A. and Yang, Y. (2013) "Model selection for estimating treatment effects", Journal of the Royal Statistical Society B http://dx.doi.org/10.1111/rssb.12043

Ma, S., Xue, L. and Zou, H. (2013) "Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection", Neural Computation, 25, 2172-2198. http://dx.doi.org/10.1162/NECO_a_00379

Mai, Q. and Zou, H. (2013) "A Note On the Connection and Equivalence of Three Sparse Linear Discriminant Analysis Method", Technometrics, 55(2), 243-246. http://dx.doi.org/10.1080/00401706.2012.746208

Mai, Q. and Zou, H. (2013) "The Kolmogorov Filter for Variable Screening in High-dimensional Binary Classification", Biometrika, 100(1), 229-234. http://dx.doi.org/10.1093/biomet/ass062

Xue, L. and Zou, H. (2013) "Minimax Optimal Estimation of General Bandable Covariance Matrices", Journal of Multivariate Analysis, 116: 45-51. http://dx.doi.org/10.1016/j.jmva.2012.11.003

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