TR #	Year	Author(s)	Title
1138	2007	Cho, S.-H. and Chun, H.	Visualizing Abnormal Climate Changes in Central America From 1995 to 2000
1137	2007	Shao, J., Wang, H.	Confidence Intervals Based On Survey Data With Nearest Neighbor Imputation
1136	2007	Wahba, G.	Statistical Learning in Medical Data Analysis
1132	2006	Carew, J.D., Koay, C.G., Wahba, G., Alexander, A.L., Meyer, M.E, Basser, P.J.	The Asymptotic Behavior of the Nonlinear Estimators of the Diffusion Tensor and Tensor-Derived Quantities with Implications for Group Analysis
1130	2006	Newton, M.A., Quintana, F.A., den Boon, J.A., Sengupta, S., Ahlquist,P.	Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis
1129	2007	Qian, Z., Wu, H., Wu, C.F.J.	Gaussian Process Models for Computer Experiments with Qualitative and Quantitative Factors
1128	2006	Cho, S.H. and Chun, H.	Visualizing Abnormal Climate Changes in Central America From 1995 to 2000-Data Expo 2006
1125	2007	Zhang, C.M., Lu, Y., Johnstone, T., Oaks, T., and Davidson, R.	Efficient modeling and inference for event-related functional MRI data
1124	2006	Lu, F	Regularized Nonparametric Logistic Regression and Kernel Regularization
1123	2006	Ane, C., Eulenstein, O., Piaggio-Talice, R., Sanderson, M.	Groves of phylogenetic trees
1122	2006	Chung, M.	Unified Cortical Surface Morphometry and Its Application to Quantifying Amount of Gray Matter
1120	2006	Zheng, Y., Zhu, J. and Li, D.	Analyzing Spatial Panel Data of Cigarette Demand: A Bayesian Hierarchical Modeling Approach
1118	2006	Chung, M.K., Shen, L., Dalton, K.M., Kelly, D.J., Robbins, S.M., Evans, A.C., Davidson, R.J.	Weighted Spherical Harmonic Representation and Its Application to Cortical Analysis
1117	2006	Cheng, Y., Fine, J.P., and Kosorok, M.R.	Nonparametric Association Analysis of Multivariate Competing Risks Data
1116	2006	Chung, M.K., Robbins, S., Dalton, K.M., Wang, S., Evans, A.C., Davidson, R.J.	Model building in two-sphere via Gauss-Weierstrass kernel smoothing and its application to cortical analysis, Part 2.
1115	2006	Chung, M.K.	Model building in two-sphere via Gauss-Weierstrass kernel smoothing and its application to cortical analysis, Part 1.
1113	2005	Wang, S. and Chung, M.K.	Parametrization and Classifiication of Closed Anatomical Curves
1112	2005	Hu, B. and Tsui, K.	Distributed Evolutionary Monte Carlo with Applications to Bayesian Analysis
1111R	2005	Tsui, K. and Tang, S.	Distributional Property of the Generalized p-value for the Behrens-Fisher Problem with Applications to Multiple Testing
1110	2005	Xie, X.	Some Smoothing in Magnetic Resonance Image Analysis and A hybrid Loss for Support Vector Machine.
1109	2005	Chung, M.K., Dalton, K.M., Kelley, D.J., Robbins, S., Evans, A.C., Davidson, R.J.	Mapping Brain-Behavior Partial Correlations: Application to Autism
1108	2005	Lu, F., Lin, Y., and Wahba, G.	Robust Manifold Unfolding with Kernel Regularization.
1107	2005	Lu, F., Keles, S., Wright, S., Wahba, G.	A Framework for Kernel Regularization With Application to Protein Clustering.
1106	2005	Lu, F., Hill, G., Wahba, G., Desiati, P.	Signal Probability Estimation with Penalized Likelihood Method on Weighted Data.
1105	2005	Xie, X., Chung, M. and Wahba, G.	Magnetic Resonance Image Segmentation with Thin Plate Spline Thresholding
1104	2005	Chung, M.K., Lee, J.E. and Alexender, A.L.	Anisotropic Kernel Smoothing in Diffusion Tensor Imaging: Theoretical Framework
1103	2005	Carew, J., Wahba, G., Koay, C., Wu, Y., Alexander, A., Meyerand, M. E.	Automatic Classification of High Angular Resolution Diffusion Data.
1102	2005	Yue, W. and Zhu, J.	On estimation and prediction of multivariate multiresolution tree-structured spatial linear model
1101	2005	Hoffmannm, T.J.	Subpixel Morphometric Analysis of Corpus Callosum with Application to Autismn
1100	2004	Jeon, Y., Lin, Y.	An Effective Method for High Dimensional Log-density ANOVA Estimation, with Application to Nonparametric Graphical Model Building
1099	2005	Newton, M.A.	On Estimating the Polyclonal Fraction in Lineage-marker Studies of Tumor Origin
1098	2004	Lin, Y., Jeon, Y.	A Characterization of the log density smoothing spline ANOVA models
1097	2004	Peng, L., Fine, J.P. and Chappell, R.	Regression modeling of semi-competing risks data
1096	2004	Peng, L. and Fine, J.P.	Nonparametric estimation with left truncated semi-competing risks data
1095	2004	Yuan, M and Lin, Y	Model Selection and Estimation in Regression with Grouped Variables
1094	2004	Leng, Chenlei	Some Problems in Model Selection
1093	2004	Yuan, Ming	Automatic Smoothing and Variable Selection via Regularization
1092	2004	Lin, Y. , Yuan, M.	Efficient Empirical Bayes Variable Selection and Estimation in Linear Models
1091	2004	Leng, C., Lin, Y., Wahba, G.	A note on the LASSO and related procedures in Model Selection
1090	2004	Chung M.	Heat kernel smoothing and its application to cortical manifolds
1089	2004	Chung, M., Dalton, K., Alexander, A.L., Davidson, R.	Less White Matter Concentration: 2D Voxel-Based Morphometry
1088	2003	Carew, J., Dalal, R., Wahba, G., Fain, S.	Estimating Arterial Wall Shear Stress
1087	2003	Jin, C.
1086	2003	Dahl, David	An Improved Merge-Split Sampler for Conjugate Dirichlet Process Mixture Models
1085	2003	Dahl, David	Modal Clustering in a Univariate Class of Product Partition Models
1084	2003	Yuan, M., Wahba, G.	Doubly Penalized Likelihood Estimator in Heteroscedastic Regression
1083	2003	Yuan, Ming	Automatic Smoothing for Poisson Regression
1082	2003	Zhang, Chunming	Cross-Validated Local Likelihood Estimates in the Exponential Family (Preliminary Report)
1081	2003	Chung, M., Lazar, Alexender, Lu, Y.	Probabilistic Connectivity Measure in Diffusion Tensor Imaging via Anisotropic Kernel Smoothing
1080	2003	Wahba, Lee, Lin, Zhang, Nychka, Wong	The 2003 Wald Lectures
1079	2003	Wahba, Grace	Reproducing Kernel Hilbert Spaces - Two Brief Reviews
1078R	2003	Zhu, J., Huang, H.C. & Wu, C.T.	Modeling Spatial-Temporal Binary Data Using Markov Random Fields
1077	2003	Zhu, J. & Yue, W.	A Multiresolution Tree-Structured Spatial Linear Model
1076	2003	Debroy, S. & Bates	Computational Methods for Multiple Level Linear Mixed-effects Models
1075	2003	Lee, Y., Wahba & Ackerman	Cloud Classification on Satellite Radiance Data by Multicategory Support Vector Machines
1074	2003	Newton, Noueiry, Sarkar, D. & Ahlquist	Detecting Differential Gene Expression with a Semiparametric Hierarchical Mixture Method
1073	2003	Debroy, S.& Bates	Computational Methods for Single Level Linear Mixed-effects Models
1072	2002	Lin, Y. & Zhang, H.	Component Selection and Smoothing in Smoothing Spline Analysis of Variance Models
1071	2002	Zhu, J. & Morgan	Comparison of Spatial Variables over Subregions Using a Block
1070	2002	Zhu, J. & Lahiri	Weak Convergence of Blockwise Bootstrapped Empirical Processes for Stationary Random Fields with Statistical Applications
1069	2002	Zhu, J., Lahiri & Cressie	Asymptotic Inference for Spatial CDFs over Time
1068	2002	Lin, Y. & Brown, L.	Racetrack Betting and Consensus of Subjective Probabilities
1067	2002	Wahba, Grace	Soft and Hard Classification by Reproducing Kernel Space Methods
1066	2002	Zhang, Hao	Nonparametric Variable Selection and Model Building via Likelihood Basis Pursuit
1065	2002	Zhang, C. & Dette	Power Comparisons between Nonparametric Regression Tests
1064	2002	Lee, Y., Lin, Y. & Wahba	Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data
1063	2002	Lee, Yoonkyung	Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data
1062	2002	Lin, Y. Brown, L.	Statistical Properties of the Method of Regularization with Periodic Gaussian Reproducing Kernal
1061	2002	Harris, Bernard	A Lemma useful in Combinatorics & some of its Applications
1060	2002	Zhang, Chunming	Calibrating the Degrees of Freedom for Automatic Data-Smoothing and Effective Curve-Checking
1059	2002	Zhang, H., Wahba, Lin, Y., Voelker,	Variable Selection and Model Building via Likelihood Basis Pursuit
1058	2002	Carew, Wahba, Xie, X., Nordheim &	Optimal Spline Smoothing of fMRI Time Series by Generalized Cross-Validation
1057	2002	Harris, Bernard	Mathematical Methods in Combatting Terrorism
1056	2002	Harris, Bernard	The Moment Preservation Method of Cluster Analysis
1055	2002	Lin, Y. & Jeon, Y.	Random Forests and Adaptive Nearest Neighbor(Postscript file)
1054	2002	Draper, Norman R.	Response Surface Bibliography
1053	2002	Cho, Hyungjun	STUDI User Manuel
1052	2002	Cho, Hyungjun	Tree-Structured Multiple Linear Regression Modeling for Censored Data
1051	2002	Lee, Y. & Lee, C.K.	Classification of Multiple Cancer Types by Multicategory Support Vector Machines using Gene Expression Data
1050	2002	Draper, Norman R.	Applied Regression Analysis Bibliography Update 2000-2001
1049	2002	Chung, M., Worsley, Paus, Robbins,	Tensor-Based Surface Morphometry
1048	2001	Wahba, Lin, Y. & Leng, C.	Penalized Log Likelihood Density Estimation, via Smoothing-Spline ANOVA and ranGACV -Comments to Hansen and Kooperbert, "Spline Adaptation in Extended Linear Models"
1047	2001	Wong, W.K. & Bian	Estimation in Regression Model with Autoregressive Error in Generalized Logistic Distribution
1046	2001	Cho, H. & Loh, W.Y.	Piecewise-Constant Tree-Structured Modeling for Censored Data
1045	2001	Wahba, Lin, Y., Lee, Y. & Zhang, H.	Optimal Properties and Adaptive Tuning of Standard and Nonstandard Support Vector Machines
1044	2001	Lin, Yi	Margin Based Loss Runctions in Classification and Related Topics
1043	2001	Lee, Y., Lin, Y. & Wahba	Multicategory Support Vector Machines
1042	2001	Zhang, H., Wahba, Lin, Y., Voelker,	Variable Selection via Basis Pursuit for Non-Gaussian Data
1041	2001	Zhang, Chunming	Binning Methodology for Nonparametric Goodness-of-Fit
1040	2001	Wahba, Lin, Y. & Lee, Y.	Multicategory Support Vector Machine (Preliminary Long Abstract)
1039	2001	Wahba, Lin, Y., Lee, Y. & Zhang, H.	Method for Tuning Support Vector Machines, with Extensions to the Non-Standard Case
1038	2001	Harris, Bernard	The Moment Preservation Method of Cluster Analysis
1037	2001	Zhang, Chunming	Equivalent Nonparametric Tests Based on Spline and Local Polynomial Smoothers (preliminary report)
1036	2001	Harris & Chen, S.Y.	Accurate Lower Tolerance Limits for the Normal Random Effects Model
1035	2001	Lin, Y. & Jeon, Y.	A Semi-Parametric Algorithm for Classification
1034	2001	Ewing, B., Yandell, Barbieri & Luck	Practical Model Building for Quantitative Population Ethology
1033	2001	Ewing, B., Yandell, Barbieri, Luck &	Quantitative Population Ethology ( no copies)
1032	2001	Ewing, B., Yandell, Barbieri & Luck	Event-Driven Competing Risks
1031	2001	Lin, Y., Nadler, Attie & Yandell	Mining for Low-Abundance Transcripts in Microarray Data
1030	2000	Zou, F., Fine & Yandell	On Empirical Likelihood for a Semiparametric Mixture Model (no copies)
1029	2000	Lin, Yi	On the Support Vector Machine
1028	2000	Satagopan, Newton & Raftery	Easy Estimation of Normalizing Constants and Bayes factors from Postterior simulation:Stabilizing the harmonic mean estimator.
1027	2000	Zhang, C. & Fan, J.	A Re-examination of Stanton's Diffusion Estimation with Applications to Financial Model Validation
1026	2000	Zhang, Chunming	Adaptive Tests of Regression Functions via Multi-Scale Generalized Likelihood Ratios
1025	2000	Fan, J., Zhang, C. & Zhang, J.	Generalized Likelihood Ratio Statistics and Wilks Phenomenon
1024	2000	Wahba, Grace	(Smoothing) Splines in Nonparametric Regression
1023	2000	Shao, J. & Wang, H.	Sample Correlation Coeffiecients Based on Survey Data Under Regression Imputation
1022	2000	Lin, Y., Wahba, Zhang, H. & Lee, Y.	Statistical Properties and Adaptive Tuning of Support Vector Machines
1021	2000	Newton, Michael	On a Nonparametric Recursive Estimator of the Mixing Distribution
1020	2000	Wahba, Grace	An Introduction to Model Building with Reproducing Kernel Hilbert Spaces
1019	2000	Borghi & Yandell	An Approximation of the K-function for Strauss Disc Processes
1018	2000	Borghi & Yandell	Methods for Estimating the Interaction Parameter of Strauss Disc Processes
1017a	2000	Palta, M. & Park, S.	Between-and Within Cluster Covariate Effects and Model Misspecification in the Analysis of Clustered Data
1017	2000	Shen, L. & Shao, J.	Between-and Within Cluster Covariate Effects and Model Misspecification in the Analysis of Clustered Data
1016	2000	Lin, Y., Lee, Y. & Wahba	Support Vector Machines for Classification in Nonstandard Situations
1015	2000	Wahba, Grace	Generalization and Regularization in Nonlinear Learning Systems
1014	1999	Lin, Yi	Support Vector Machines and the Bayes Rule in Classification
1013	1999	Clayton, Sheperd, Hsiao, C.F. &	Bayesian Sequential Design of a Network of Sensors
1012	1999	Kim, H. & Loh, W.Y.	Classification Trees with Unbiased Multiway Splits
1011	1999	Gao, Fangyu	Iterated Ran GAVC: A Computational Proxy for Comparative Kullback-Leibler Distance
1010	1999	Chiang, A., Wahba, Tribbia &	Quantitative Study of Smoothing Spline-ANOVA Based Fingerprint Methods for Attribution of Global Warming
1009	1999	Gao, F., Wahba, Klein, R. & Klein, B.	Smoothing Spline ANOVA for Mulivariative Bernoulli Observations w/applications to Ophthalmology Data
1008	1999	Wardrop, Robert L.	Normal Quantile Plots and Statistical Inference
1007	1999	Wardrop, Robert L.	Statistical Tests for the Hot-Hand in Basketball in a Controlled Setting
1006	1999	Wahba, Lin, Y. & Zhang, H.	Generalized Approximate Cross Validation for Support Vector Machines, or Another Way to Look at Margin Like Quantities (Preliminary Report)
1005	1999	Clayton & Hsiao, C.F.	Bayes Discrete Sequential Boundaries for Clinical Trials
1004	1999	Clayton & Hsiao, C.F.	Are Sequential Trial Designs Bayes'
1003	1998	Lin, Xiwu	Smoothing Spline Analysis of Variance for Polychotomous Response Data
1002	1998	Yeo, I.K. & Johnson	A New Family of Power Transformations to Improve Normality or Symmetry
1001a	1998	Omori & Johnson	Multivariate Discrete Proportional Hazards Models with Random Effects
1001	1998	Draper, Heiligers & Pukelsheim	Kiefer Ordering of Simplex Designes for Second-Degree mixtgure Models with four or more Ingredients
1000	1998	Wahba, Grace	Adaptive Tuning, 4 Dimensional Variational Data Assimilation & Representers in RKHS
999	1998	Quintana & Newton	Computational Aspects of Nonparametric Bayesian Analysis with Applications to the Modeling of Multiple Binary Sequences
998	1998	Wahba, Lin, X., Xiang, D., Gao, F.,	Smoothing Spline ANOVA Models and Large Data Sets w/Bernoulli Observations & the Randomized GACV
997	1998	Wahba, Lin, X., Xiang, D., Gao, F.,	The BiasVariance Tradeoff and the Randomized GACV
996	1998	Lin, Yi	Tensor Product Space ANOVA Models
995	1998	Draper & Pukelsheim	Ridge Analysis of Mixture Response Surfaces
994	1998	Chaudhuri & Loh, W.Y.	Quantile Regression Trees
993	1998	Clayton & Cook	Sequential Bayesian Quadrature
992	1998	Draper, Norman R.	749 Class of 1998, Response Surface Bibliography
991	1998	Draper, Norman R.	Bibliography Update 1988-97
990	1998	Davis, T.P. & Draper	Fitting 3rd Order Terms in Box-Behnken Experiments
989	1998	Kim, H. & Loh, W.Y.	CRUISE User Maneul
988	1998	Loh, Wei-Yin	GUIDE User Manuel
987	1998	Wahba, Grace	Comments to Chong Gu, Model Indexing and Smoothing Parameter Selection in Nonparametric Function Estimation
986	1997	Pan, W. & Chappell	Estimation in the Cox Proportional Hazards Model with Truncated and Interval Censored Data
985	1997	Loh, Wei-Yin	Unbiased Regression Trees
984	1997	Wahba, Grace	Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV 1
983	1997	Newton, Mau & Larget	Markov Chain Monte Carlo for Bayesian Analysis of Evolutionary Trees from Aligned Molecular Sequences
982	1997	Wahba & Xiang, D.	Approximate Smoothing Spline Methods for Large Data Sets in the Binary Case 1
981	1997	Kosorok & Wei, W.H.	Scale Invariant Local Influence Diagnostics
980	1997	Draper & Pukelsheim	Polynomial Representations for Response Surface Modeling (no copies)
979	1997	Lim, T.S., Loh, W.Y. & Shih, Y.S.	An Empirical Comparison of Decision Trees and Other Classification Methods
978	1997	Harris & Godehardt	Probability Models and Limit Theorems for Random Interval Graphs with Applications to Cluster Analysis
977	1997	Draper & Pukelsheim	Mixture Models Based on Homgeneous Polynomials
976	1997	Li, C.K. & Wong, W.K.	A Note on Convex Stochastic Dominance Theory
975	1997	Bian, G. & Wong, W.K.	An Alternative Approach to Estimate Regression Coefficients
974	1997	Wong, W.K. & Chew, B.K.	Can the Forecasts Generated from P/E Ration and Bond Yield be Used to Beat Stock Markets
973	1997	Kang, Seung-Ho	The exact Bahadur slope of the power-divergence statistics conditional on margins for testing indpendence in two-way contingency tables
972	1997	Kang, Seung-Ho	An optimal property of Fisher's exact test in a r x c contingency table
971	1997	Tao, H., Palta, Yandell & Newton	An estimation method for the semi-parametric mixed effects model
970		Unknown	Unknown
969	1996	Quintana & Newton	Parametric partially exchangeable models for multiple binary sequences
968	1996	Godehardt, Erhard	Asymptotic properties of random interval graphs and their use in cluster analysis
967	1996	Wang, Yuedong	Mixed effects smoothing spline ANOVA
966	1996	Wang, Yuedong	Smoothing spline models with correlated errors
965	1996	Newton & Zhang, Y.L.	A partial predictive recursion
964	1996	Luo, Zhen	Backfitting in smoothing spline ANOVA and an application to historical global temperature data
963	1996	Gong, J., Wahba, Johnson, D. &	Adaptive tuning of numerical weather prediction models - simultaneous estimation of weighting, smoothing and physical parameters
962		Unknown	Unknown
961	1996	Mau, Newton & Larget	Bayesian phyogenetic inference via Markov chain Monte Carlo methods
960	1996	Yang, Y. & Draper	The effects of model mis-specifications in the measurement error models
959	1996	Draper, Norman R.	Response Surface Bibliography
958	1996	Shao, Palta & Qu, P.	Least squares estimation of regression parameters in mixed effect models with unmeasured covariates
957	1996	Xiang, Dong	Model fitting and testing for non-Gaussian data with a large data set (no copies)
956	1995	Wang, Y., Wahba, Gu, C., Klein, R.	Using smoothing spline ANOVA to examine the relation of risk factors to the incidence and progression of diabetic retinopathy
955	1995	Draper & Pukelsheim	An overview of design of experiments
954	1995	Davis & Draper	A note on remnant three-level second order designs
953	1995	Xiang, D. & Wahba	Testing the generalized linear model null hypothesis versus 'smooth' alternatives
952	1995	Wahba & Luo, Z.	Smoothing spline ANOVA fits for very large nearly regular data sets, with application to historical global climate data
951	1995	Omori, Y. & Johnson	Comparing two means in count models having random effects - a UMPU test
950	1995	Johnson, Sim, S., Klein, B. & Klein, R.	A multivariate multi-sample quantile test for ordered alternatives
949	1995	Quintana & Newton	Assessing the order of dependence for partially exchangeable binary  data
948	1995	Qiu, P. & Yandell	Jump detection in regression surfaces
947	1995	Luo, Z. & Wahba	Hybrid adaptive splines
946	1995	Wang, Yuedong	Odds ratio estimation in Bernoulli smoothing spline ANOVA models
945	1995	Soo, Y.W. & Bates	Multiresponse spline regression
944a	1995	Kang, H. & Lascoux	Using Markov chain Monte Carlo in practice:  A case study of deleterious gene structure in plants
944	1995	Lee, J., Newton & Nordheim	Using Markov chain Monte Carlo in practice:  A case study of deleterious gene structure in plants
943	1995	Draper & Yang, Y.	Generalization of the geometric mean functional relationship
942	1995	Wang, Yuedong	GRKPACK: Fitting smoothing spline ANOVA models for exponential families
941	1995	Shao, Jun	Asymptotics for the GIC in model selection
940	1994	Wahba, Wang, Y., Gu, C., Klein, R. &	Smoothing spline ANOVA for exponential families, with applications to the Wisconsin epidemiological study of diabetic retinopathy
939	1994	Harris, Godehardt & Horsch	Random multigraphs, classification and clustering
938	1994	Loh, W.Y. & Shih, Y.S.	Split selection methods for classification trees
937	1994	Chen, Y.  & Shao	Variance estimation for stratified multistage samples with simple hot deck imputation
936	1994	Newton, Michael A.	A diffuse prior limit in semiparametric binary regression
935	1994	Clayton & Ginebra	Small sample frequentist properties of Bernoulli two-armed bandit Bayesian strategies
934	1994	Clayton & Ginebra	Improvements on the myopic strategy for the Bernoulli two-armed bandit
933	1994	Clayton & Ginebra	On a theorem of Kelley
932	1994	Clayton & Ginebra	The response surface bandit
931	1994	Pinheiro, Bates & Lindstrom	Model building for nonlinear mixed effects models
930	1994	Xiang, D. & Wahba	A generalized approximate cross validation for smoothing splines with non-Gaussian data
929	1994	Miller, & Chang, S.C.	Some results of time-varying relationship model with measurement error
928	1994	Wang, Yeudong	Smoothing spline analysis of variance of data from exponential families
927	1994	Sen & Khattree	Length biased distribution, equilibrium distribution and characterization of probability laws
926	1994	Newton, Craig & Garrott	Analysis of aerial survey data on Trichechus Manatus using Markov Chain Monte Carlo
925	1994	Satagopan, Yandell & Newton	Markov chain Monte Carlo based inference for quantitative trait loci in plant breeding
924	1994	Newton, Michael A.	On identifiability in semiparametric hierarchical models
923	1994	Newton, Michael A.	Bootstrapping phylogenies - large deviations and dispersion effects
922	1994	Pinheiro & Bates	Approximations to the loglikelihood function in the nonlinear mixed effects model
921	1994	Wahba, Grace	Generalization and regularization in nonlinear learning systems
920	1994	Wahba, Johnson, Gao, F. & Gong. J.	Adaptive tuning of numerical weather prediction models - Part I randomized GCV and related methods in three and four dimensional data assimilation
919	1994	Draper & Guttman	Confidence interval versus regions
918	1994	Ying, L., Pukelsheim & Draper	SROAD designs for k>4
917	1994	Banerjee & Frees	Influence diagnostics for longitudinal models
916	1994	Feng, J. & Kurtz	On the connection between stochastic smoothing, filtering and estimation with incomplete data
915	1994	Ying, L., Pukelsheim & Draper	SROAD designs
914	1994	Sen & Bhattacharyya	A reliability growth model under inherent and assignable-cause failures
913	1994	Wahba & Wang, Y.	Bootstrap confidence intervals for smoothing splines and their comparison to Bayesian confidence intervals