| 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 |
|