Thurston, S., Ruppert, D., and Davidson, P. (2009) Bayesian models for multiple outcomes nested in domains, Biometrics , to appear.

Apanasovich, T., Ruppert, D., Lupton, J., Popovic, N., Turner, N., Chapkin, R., and Carroll, R. (2008). Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data, Biometrics , 64, 490-500.

Li, Yingxing, and Ruppert, D. (2008). On The Asymptotics Of Penalized Splines, Biometrika , 95, 415-436.

Blizniouk, N., Ruppert, D., Shoemaker, C., Regis, R., Wild, S., and Mugunthan, P. (2008). Bayesian Calibration of Computationally Expensive Models Using Optimization and Radial Basis Function Approximation. JCGS, 17, 270-294.

Staudenmayer, J., Ruppert, D., and Buonaccorsi, J. (2008). Density estimation in the presence of heteroskedastic measurement error JASA, 103, 726-736.

Madsen, L., Ruppert, D., and Altman, N.S. (2008). Regression with Spatially Misaligned Data, Environmetrics, 19, 453-467.

Liang, Hua, Thurston, S., Ruppert, D., Apanosovich, T., and Hauser, R. (2008) Additive partial linear models with measurement errors, Biometrika, 95, 667-678.

Liang, H., Qin, Y., Zhang, X., and Ruppert, D. (2008) Empirical-Likelihood-Based Inferences for Generalized Partially Linear Models, Scandinavian Journal of Statistics, to appear.

Ruppert, D., Nettleton, D., and Hwang, J. T. Gene (2007). Exploring the Information in P-values for the Analysis and Planning of Multiple-Test Experiments, Biometrics , 63, 483-495.

Ruppert, D., (2007). Comments on "Model-assisted Estimation of Forest Resources with Generalized Additive Models," by J. D. Opsomer, F. J. Breidt, G. G. Moisen, and G. Kauermann, JASA, 102, 409-411.

Briggs, W. M., and Ruppert, D. (2006) Assessing the skill of yes/no forecasts for Markov observations, Monthly Weather Review, 134, 2601-2611.

Carroll, R., and Ruppert, D. (2006). Comment on "Conditional Growth Charts" by Ying Wei and Xuming He, The Annals of Statistics, 34, 2098-2104.

Crainiceanu, C., Ruppert, D., and Wand, M. (2005). Bayesian Analysis for Penalized Spline Regression Using Win BUGS, Journal of Statistical Software Volume 14, 2005, Issue 14

Ruppert, D., and Carroll, R. (2005). Comments on "Does the Effect of Micronutrient Supplementation on Neonatal Survival Vary with Respect to the Percentiles of the Birth Weight Distribution?'' by Francesca Dominici, Scott L. Zeger, Giovanni Parmigiani, Joanne Katz, and Parul Christian

Ruppert, D., (2005). Discussion of "Maximization by Parts in Likelihood Inference," by Song, Fan, and Kalbfleish, JASA, 100, 1161-1163

Briggs, W., Pocernich, M, and Ruppert, D. (2005), Incorporating misclassification error in skill assessment, Monthly Weather Review , 133 (11): 3382-3392 NOV 2005

Briggs, W., and Ruppert, D. (2005), Assessing the Skill of Yes/No Predictions, Biometrics, 61, 799-807.

Ruppert, D. (2004). Review of "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" by Hastie, Tibshirani, and Friedman, JASA , 99, 567.

Crainiceanu, C. and Ruppert, D. (2004). Likelihood ratio tests in linear mixed models with one variance component, JRSS-B, 66, 165-185.

Staudenmayer, J., and Ruppert, D. (2004). Local Polynomial regression and SIMEX, JRSS-B, 66, 17-30.

Jarrow, R., Ruppert, D., and Yu, Yan. (2004). Estimating the term structure of corporate debt with a semiparametric penalized spline model, JASA, 99, 57-66.

Yu, Y., and Ruppert, D. (2004), Root-n Consistency of Penalized Spline Estimator for Partially Linear Single-Index Models under General Euclidean Space, Statistica Sinica, 14, 449-456.

Carroll, R., Ruppert, D., Crainiceanu, C., Tosteson, T., and Karagas, M. (2004), Nonlinear and Nonparametric Regression and Instrumental Variables, JASA, 99, 736--750.

Crainiceanu, C. and Ruppert, D. (2004). Restricted Likelihood Ratio Tests for Longitudinal Models, Statistica Sinica, 14, 713-729.

Crainiceanu, C. and Ruppert, D. (2004). Likelihood Ratio Tests for Goodness-of-Fit of a Nonlinear Regression Model. (pdf), Journal of Multivariate Analysis , 91(1), 35-42.

Crainiceanu, C., Stedinger, J., Ruppert, D., and Behr, C. (2003). Modeling the U. S. National Distribution of Waterborne Pathogen Concentrations with Application to Cryptosporidium parvum Water Resources Research, 39, no. 9, 1235-1249.

Crainiceanu, C., Ruppert, D., and Vogelsang, T. (2003). Probability that the MLE of a Variance Component is Zero With Applications to Likelihood Ratio Tests, submitted. (pdf)

Thurston, S. W., Spiegelman, D., and Ruppert, D. (2003), Equivalence of regression calibration methods in main study/external validation study designs, J. of Statistical Planning and Inference, 113, 527-539.

Crainiceanu, C., Ruppert, D. Claeskens, G., and Wand, M. (2003) Exact Likelihood ratio tests for penalized splines, Biometrika, to appear (pdf)

Yu, Yan, and Ruppert, D. (2002). Penalized Spline Estimation for Partially Linear Single Index Models, JASA, 97, 1042-1054.

Ruppert, D., (2002). Discussion of "Spline adaptation in extended linear models" by Mark Hansen and Charles Kooperberg," Statistical Science, 17, 37-40.

Ruppert, D. (2002). Selecting the number of knots for penalized splines, JCGS , 11, 735-757.

Crainiceanu, C., Ruppert, D., Stedinger, J. R., and Behr, C. T. (2002). Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies, In Case Studies in Bayesian Statistics, VI, , Gatsonis, C., et al (editors), Lecture Notes in Statistics 167, Springer, pp. 207-222.

Berry, S., Carroll, R., and Ruppert, D. (2002). Bayesian Smoothing and Regression Splines for Measurement Error Problems, JASA, 97, 160--169.

Ruppert, D. (2002). Discussion of ``Inconsistency of resampling algorithms for high breakdown regression estimatiors and a new algorithm'' by Douglas Hawkins and David Olive, JASA, 97, 148--149.

Ruppert, D. (2001). Review of ``Nonparametric regression and Spline Smoothing'' by Randall Eubank, JASA, 96, 1523--1524.

Parise, H., Ruppert, D., Ryan, L., and Wand, M. (2001). Incorporation of Historical Controls Using Semiparametric Mixed Models, Applied Statistics , 50, 31-42.

Ruppert, D. (2001). Transformations of data. (ps) International Encyclopedia of Social and Behavioral Sciencees .

Ruppert, D. (2001) Multivariate Transformations (pdf) Encyclopedia of Environmetrics

Coull, B., Ruppert, D., and Wand, M. (2001), Simple incorporation of interactions into additive models. Biometrics, 57, 539--545.

Ruppert, D., Schruben, L, and Freimer, M. (2000). Meta-modeling of a cluster tool simulator, MASM2000 Proceedings. (pdf)

Ruppert, D., and Carroll, R.J. (2000). Spatially-adaptive penalties for spline fitting, Australian and New Zealand Journal of Statistics, 42, 205-223. Correction.

Marron, J.S., Ruppert, D., Smith, E.K., and Conley, G. (1999), Motion Picture Analysis of Smoothing.

Opsomer, J., and Ruppert, D. (1999). A root-n consistent backfitting estimator for semiparametric additive modelling. JCGS, 8, 715--732. (Invited paper in the ``Best of JCGS Session'' at Interface '99)

Brumback, B., Ruppert, D., and Wand, M.P. (1999). Comment on "Variable selection and function estimation in additive nonparametric regression using a data-based prior" by Shively, Kohn, and Wood. JASA, 94, 794--797.

Carroll, R.J., Ruppert, D., and Stefanski, L.A. (1999), Comments on ``Regression Depth'' by Rousseeuw and Hulbert, JASA, 94, 410-411.

Carroll, R.J., Maca, J.D., and Ruppert, D. (1999). Nonparametric Estimation in the Presence of Measurement Error. Biometrika, 86, 541-554.

Opsomer, J, Ruppert, D., Wand, M.P., Holst, U., and Hossjer, O., (1999), Kriging with nonparametric variance function estimation, Biometrics, 55, 704-710.

Chen, V. C. P., Ruppert, D., and Shoemaker, C. A., (1999), Applying experimental design and regression splines to high-dimensional continuous-state stochastic dynamic programming, Operations Research, 47, 38-53.

Opsomer, J., and Ruppert, D. (1998). A Fully Automated Bandwidth Selection Method for Fitting Additive Models. JASA, 93, 605-619.

Carroll, R.J., Ruppert, D., and Welsh, A.H. (1998). Local Estimating Equations, JASA, 93, 214--227.

Park, B.U., Kim, W.C., Ruppert, D., Jones, M.C., Signorini, D.F., and Kohn, R. (1997). Simple transformation techniques for improved nonparametric regression. (1997). Scandivanian Journal of Statistics, 24, 145-164.

Ruppert, D. (1997). Local polynomial regression and its applications in environmental statistics, In Statistics for the Environment, Volume 3 (V. Barnett and F. Turkman, editors) Chicester: John Wiley.

Ruppert, D., and Carroll, R.J. (1997). Penalized Regression Splines   (pdf) .

Ruppert, D. (1997). Empirical-bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation, JASA, 92, 1049-1062.

Ruppert, D., Wand, M.P., Holst, U., and Hössjer, O. (1997). Local Polynomial Variance Function Estimation, Technometrics, 39, 262--273.

Opsomer, J, and Ruppert, D. (1997). Fitting a bivariate additive model by local polynomial regression, The Annals of Statistics, 25, 186--212.

Wang, N., and Ruppert, D. (1996). Estimation of Regression Parameters in a Semiparametric Transformation Model, (1996), J. of Statistical Planning and Inference, 52, 331--351.

Carroll, R.J., and Ruppert, D. (1996). The use and misuse of orthogonal regression estimation in linear errors-in-variables models, The American Statistician, 50, 1-6.