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Bai Z, Hsing T.  Submitted.  The broken sample problem. Probability Theory and Related Fields.
Notz W.  2008.  A Brief Reflection on the Life and Work of Jack Carl Kiefer. Journal of Statistical Theory and Practice. 2:125-130.
Lin H-J, Zuo T, Lin C-H, Kuo CT, Liyanarachchi S, Sun S, Shen R, Deatherage DE, Potter D, Asamoto L.  2008.  Breast Caner-associated Fibroblasts Confer AKTl-mediated Epi-genetic Silencing of Cystatin M in Epithelial Cells. Cancer Research. 68:10257-10266.
Dean AM, Notz WI, Kao LJ.  2002.  A bound for efficiency in multiple response designs. Journal of Statistical Planning and Inference. 106:235-244.
Zhang G, Browne MW.  2006.  Bootstrap fit testing, confidence intervals and standard error estimation in the factor analysis of polychoric correlation matrices. Behaviormetrika. 33:61-74.
Cressie N.  2006.  Block kriging for lognormal spatial processes. Mathematical Geology. 38:413-443.
Bortnick SM, Dean AM, Hsu JC.  2001.  Block designs for comparison of two test treatments with a control. Optimum Design 2000. :167-180.
Rovin DH, Birmingham DJ, Nagaraja HN, Yu CY, Hebert LA.  2007.  Biomarker Discovery in Human SLE Nephritis. Bulletin of the NYU Hospital for Joint Diseases. 65(3):187-193.
Shi T, Yu B.  2006.  Binning in Gaussian Kernel Regularization. Statistica Sinica. 16:541-567.
Cressie N, Liu C.  2001.  Binary Markov mesh models and symmetric Markov random fields: Some results on their equivalence. Methodology and Computing in Applied Probability. 3:5-34.
Li H, Calder CA, Cressie N.  2007.  Beyond Moran's I: Testing for spatial dependence based on the SAR model. Geographical Analysis. 39:357-375.
Guha S, MacEachern SN, Peruggia M.  2004.  Benchmark estimation for Markov chain Monte Carlo samples. Journal of Computational and Graphical Statistics. 13:683-701.
Wikle CK, Berliner LM.  2006.  A Bayesian tutorial for data assimilation. Physica D. doi:10.1016/j.physd.2006.09.017
MacEachern SN, Peruggia M.  2002.  Bayesian tools for EDA and model building: a brainy study. Case Studies in Bayesian Statistics. 5:345-362.
Yu Q, MacEachern SN, Peruggia M.  Submitted.  Bayesian synthesis. Annals of Applied Statistics.
Huang C, Hsing T, Cressie N, Ganguly AR, Protopopescu VA, Rao NS.  Submitted.  Bayesian source detection and parameter estimation of a plume model based on sensor network measurements. Applied Stochastic Models in business and Industry .
Nounou MN, Bakshi RB, Goel PK, Shen X.  2002.  Bayesian principal component analysis. Journal of Chemometrics. 16(11):576-595.
George EI, Xu X.  Submitted.  Bayesian predictive density estimation. Frontier of Statistical Decision Making and Bayesian Analysis.
Gelfand AE, Kottas A, MacEachern SN.  2005.  Bayesian nonparametric spatial modelling with Dirichlet process mixing. Journal of the American Statistical Association. 100:1021-1035.
MacEachern SN, Gelfand AE, Guindani M, Petrone S.  2007.  Bayesian non parametric modelling of spatial data using the Dirichlet process. in Bayesian Statistics 8, Proceedings of the Eighth Valencia International Meeting. :196-198.
Li Q, Shen X, Pearl DK.  2007.  Bayesian Modeling of the Dynamics of Hepatotoxicity. Statistics in Medicine. 26:3591-3611.
Peruggia M.  2007.  Bayesian Model Diagnostics Based on Artificial Autoregressive Errors. (This is a synopsis of the 2007 Bayesian Analysis article by the same title.). Bayesian Statistics 8. :659–654.
Peruggia M.  2007.  Bayesian Model Diagnostics Based on Artificial Autoregressive Errors. Bayesian Analysis. 2:817-842.
Hans C.  2009.  Bayesian lasso regression. Biometrika. 96:835-845.
Hans C, Dunson DB.  2005.  Bayesian inferences on umbrella orderings. Biometrics. 61:1018-1026.
Berliner LM, Milliff RF, Wikle CK.  2003.  Bayesian hierarchical modeling of air-sea interaction. Journal of Geophysical Research. 108(C4):3104,doi:10.1029/2002JC001413.
Brynjarsdottir J, Berliner LM.  2011.  Bayesian hierarchical modeling for paleoclimate reconstruction from geothermal data. Annals of Applied Statistics. 5:1328-1359.
Paul R, Cressie N, Buxton BE, Calder CA, Craigmile PF, Li H, McMillan NJ, Morara M, Sanford J, Santner TJ et al..  2007.  A Bayesian hierarchical model of arsenic exposure based on NHEXAS data: A comparison of US EPA Region 5 and Arizona. 2007 Proceedings of the Joint Statistical Meetings. :1055-1062.
Holloman C, Bortnick S, Morara M, Strauss W, Calder CA.  2004.  A Bayesian Hierarchical Approach for Relating PM2.5 Exposure to Cardiovascular Mortality in North Carolina. Environmental Health Perspectives. 112:1282-1288.
Calder CA.  2008.  A Bayesian Dynamic Process Convolution Approach to Modeling the Joint Distribution of PM2.5 and PM10. Environmetrics. 19:39-48.
Calder CA.  Submitted.  A Bayesian Dynamic Process Convolution Approach to Modeling PM2.5 and PM10 Concentration Levels. Environmetrics.
Berliner LM, Kim Y.  Submitted.  Bayesian Design and Analysis for Superensemble Based Climate Forecasting. Journal of Climate.
Berliner LM, Kim Y.  2008.  Bayesian design and analysis for superensemble based climate forecasting. Journal of Climate. 21:1891-1910.
Berliner LM, Levine RA, Shea DJ.  2000.  Bayesian climate change assessment. Journal of Climate. 13:3805-3820.
Biswas S, Lin S.  2006.  A Bayesian approach for incorporating variable rates of heterogeneity in linkage analysis. Journal of the American Statistical Association. 101:1341-1351.
Dunson DB, Holloman C, Calder CA, Gunn L.  2004.  Bayesian Analysis of Lesion Onset and Growth from Interval Censored Data. Biometrics. 60:676-683.
Koo J-Y, Lee Y, Kim Y, Park C.  2008.  A Bahadur Representation of the Linear Support Vector Machine. Journal of Machine Learning Research. 9:1343–1368.