Year |
Citation |
Score |
2018 |
Zhou HH, Singh V, Johnson SC, Wahba G. Statistical tests and identifiability conditions for pooling and analyzing multisite datasets. Proceedings of the National Academy of Sciences of the United States of America. PMID 29386387 DOI: 10.1073/Pnas.1719747115 |
0.353 |
|
2016 |
Zhang L, Wahba G, Yuan M. Distance shrinkage and Euclidean embedding via regularized kernel estimation Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12138 |
0.548 |
|
2015 |
Kong J, Klein BE, Klein R, Wahba G. Backward multiple imputation estimation of the conditional lifetime expectancy function with application to censored human longevity data. Proceedings of the National Academy of Sciences of the United States of America. PMID 26371300 DOI: 10.1073/Pnas.1512237112 |
0.447 |
|
2015 |
Kong J, Wang S, Wahba G. Using distance covariance for improved variable selection with application to learning genetic risk models. Statistics in Medicine. 34: 1708-20. PMID 25640961 DOI: 10.1002/Sim.6441 |
0.384 |
|
2015 |
Geng Z, Wang S, Yu M, Monahan PO, Champion V, Wahba G. Group variable selection via convex log-exp-sum penalty with application to a breast cancer survivor study. Biometrics. 71: 53-62. PMID 25257196 DOI: 10.1111/Biom.12230 |
0.521 |
|
2013 |
Dai B, Ding S, Wahba G. Multivariate Bernoulli distribution Bernoulli. 19: 1465-1483. DOI: 10.3150/12-Bejsp10 |
0.662 |
|
2012 |
Shi W, Wahba G, Irizarry RA, Bravo HC, Wright SJ. The partitioned LASSO-patternsearch algorithm with application to gene expression data. Bmc Bioinformatics. 13: 98. PMID 22587526 DOI: 10.1186/1471-2105-13-98 |
0.733 |
|
2010 |
Wahba G. Encoding Dissimilarity Data for Statistical Model Building. Journal of Statistical Planning and Inference. 140: 3580-3596. PMID 20814436 DOI: 10.1016/J.Jspi.2010.04.025 |
0.357 |
|
2009 |
Bravo HC, Wright S, Eng KH, Keles S, Wahba G. Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. Journal of Machine Learning Research : Jmlr. 5: 41-48. PMID 22081761 |
0.695 |
|
2009 |
Bravo HC, Lee KE, Klein BE, Klein R, Iyengar SK, Wahba G. Examining the relative influence of familial, genetic, and environmental covariate information in flexible risk models. Proceedings of the National Academy of Sciences of the United States of America. 106: 8128-33. PMID 19420224 DOI: 10.1073/Pnas.0902906106 |
0.68 |
|
2008 |
Shi W, Wahba G, Wright S, Lee K, Klein R, Klein B. LASSO-Patternsearch algorithm with application to ophthalmology and genomic data. Statistics and Its Interface. 1: 137-153. PMID 18852828 DOI: 10.4310/Sii.2008.V1.N1.A12 |
0.602 |
|
2007 |
Shi W, Lee KE, Wahba G. Detecting disease-causing genes by LASSO-Patternsearch algorithm. Bmc Proceedings. 1: S60. PMID 18466561 DOI: 10.1186/1753-6561-1-S1-S60 |
0.609 |
|
2007 |
Ziegler A, DeStefano AL, König IR, Bardel C, Brinza D, Bull S, Cai Z, Glaser B, Jiang W, Lee KE, Li CX, Li J, Li X, Majoram P, Meng Y, ... ... Wahba G, et al. Data mining, neural nets, trees--problems 2 and 3 of Genetic Analysis Workshop 15. Genetic Epidemiology. 31: S51-60. PMID 18046765 DOI: 10.1002/Gepi.20280 |
0.565 |
|
2007 |
Wahba G. 23 Statistical Learning in Medical Data Analysis Handbook of Statistics. 27: 679-711. DOI: 10.1016/S0169-7161(07)27023-3 |
0.346 |
|
2006 |
Lu F, Hill GC, Wahba G, Desiati P. Signal probability estimation with penalized likelihood method on weighted data Statistica Sinica. 16: 459-469. |
0.321 |
|
2005 |
Lu F, Keles S, Wright SJ, Wahba G. Framework for kernel regularization with application to protein clustering. Proceedings of the National Academy of Sciences of the United States of America. 102: 12332-7. PMID 16109767 DOI: 10.1073/Pnas.0505411102 |
0.489 |
|
2004 |
Zhang HH, Wahba G, Lin Y, Voelker M, Ferris M, Klein R, Klein B. Variable selection and model building via likelihood basis pursuit Journal of the American Statistical Association. 99: 659-672. DOI: 10.1198/016214504000000593 |
0.411 |
|
2004 |
Lee Y, Lin Y, Wahba G. Multicategory Support Vector Machines Journal of the American Statistical Association. 99: 67-81. DOI: 10.1198/016214504000000098 |
0.434 |
|
2004 |
Lee Y, Lin Y, Wahba G. Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data Journal of the American Statistical Association. 99: 67-81. DOI: 10.1198/016214504000000098 |
0.574 |
|
2004 |
Lee Y, Wahba G, Ackerman SA. Cloud classification of satellite radiance data by multicategory support vector machines Journal of Atmospheric and Oceanic Technology. 21: 159-169. DOI: 10.1175/1520-0426(2004)021<0159:Ccosrd>2.0.Co;2 |
0.563 |
|
2004 |
Yuan M, Wahba G. Doubly penalized likelihood estimator in heteroscedastic regression Statistics and Probability Letters. 69: 11-20. DOI: 10.1016/J.Spl.2004.03.009 |
0.548 |
|
2003 |
Carew JD, Wahba G, Xie X, Nordheim EV, Meyerand ME. Optimal spline smoothing of fMRI time series by generalized cross-validation. Neuroimage. 18: 950-61. PMID 12725770 DOI: 10.1016/S1053-8119(03)00013-2 |
0.758 |
|
2003 |
Wahba G. An introduction to smoothing spline ANOVA models in RKHS, with examples in geographical data, medicine, atmospheric sciences and machine learning Ifac Proceedings Volumes. 36: 531-536. DOI: 10.1016/S1474-6670(17)34816-4 |
0.442 |
|
2003 |
Wahba G. An introduction to reproducing kernel hilbert spaces and why they are so useful Ifac Proceedings Volumes. 36: 525-528. DOI: 10.1016/S1474-6670(17)34815-2 |
0.395 |
|
2002 |
Wahba G. Soft and hard classification by reproducing kernel Hilbert space methods. Proceedings of the National Academy of Sciences of the United States of America. 99: 16524-30. PMID 12477931 DOI: 10.1073/Pnas.242574899 |
0.398 |
|
2002 |
Lin Y, Wahba G, Zhang H, Lee Y. Statistical properties and adaptive tuning of support vector machines Machine Learning. 48: 115-136. DOI: 10.1023/A:1013951620650 |
0.576 |
|
2002 |
Lin Y, Lee Y, Wahba G. Support vector machines for classification in nonstandard situations Machine Learning. 46: 191-202. DOI: 10.1023/A:1012406528296 |
0.534 |
|
2001 |
Gao F, Wahba G, Klein R, Klein B. Smoothing Spline ANOVA for Multivariate Bernoulli Observations, with Application to Ophthalmology Data Journal of the American Statistical Association. 96: 127-147. DOI: 10.1198/016214501750332749 |
0.7 |
|
2000 |
Lin X, Wahba G, Xiang D, Gao F, Klein R, Klein B. Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV Annals of Statistics. 28: 1570-1600. DOI: 10.1214/Aos/1015957471 |
0.779 |
|
1999 |
Wahba G, Lin X, Gao F, Xiang D, Klein R, Klein B. The bias-variance tradeoff and the randomized GACV Advances in Neural Information Processing Systems. 620-626. |
0.327 |
|
1998 |
Wang Y, Wahba G. Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves: Comment Journal of the American Statistical Association. 93: 976. DOI: 10.2307/2669838 |
0.458 |
|
1998 |
Gong J, Wahba G, Johnson DR, Tribbia J. Adaptive tuning of numerical weather prediction models: Simultaneous estimation of weighting, smoothing, and physical parameters Monthly Weather Review. 126: 210-231. DOI: 10.1175/1520-0493(1998)126<0210:Atonwp>2.0.Co;2 |
0.733 |
|
1998 |
Luo Z, Wahba G, Johnson DR. Spatial-temporal analysis of temperature using smoothing spline ANOVA Journal of Climate. 11: 18-28. DOI: 10.1175/1520-0442(1998)011<0018:Staotu>2.0.Co;2 |
0.555 |
|
1997 |
Wang Y, Wahba G, Gu C, Klein R, Klein B. Using smoothing spline anova to examine the relation of risk factors to the incidence and progression of diabetic retinopathy Statistics in Medicine. 16: 1357-1376. PMID 9232758 DOI: 10.1002/(Sici)1097-0258(19970630)16:12<1357::Aid-Sim563>3.0.Co;2-X |
0.49 |
|
1997 |
Luo Z, Wahba G. Hybrid adaptive splines Journal of the American Statistical Association. 92: 107-116. DOI: 10.1080/01621459.1997.10473607 |
0.6 |
|
1996 |
Xiang D, Wahba G. A generalized approximate cross validation for smoothing splines with non-Gaussian data Statistica Sinica. 6: 675-692. |
0.363 |
|
1995 |
Wahba G, Wang Y, Gu C, Klein R, Klein B. Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy : the 1994 Neyman Memorial Lecture The Annals of Statistics. 23: 1865-1895. DOI: 10.1214/Aos/1034713638 |
0.444 |
|
1995 |
Wahba G, Johnson DR, Gao F, Gong J. Adaptive Tuning of Numerical Weather Prediction Models: Randomized GCV in Three- and Four-Dimensional Data Assimilation Monthly Weather Review. 123: 3358-3370. DOI: 10.1175/1520-0493(1995)123<3358:Atonwp>2.0.Co;2 |
0.72 |
|
1995 |
Wang Y, Wahba G, Chappell R, Gu C. Simulation studies of smoothing parameter estimates and bayesian confidence intervals in bernoulli ss anova models Communications in Statistics - Simulation and Computation. 24: 1037-1059. DOI: 10.1080/03610919508813292 |
0.692 |
|
1995 |
Wang Y, Wahba G. Bootstrap confidence intervals for smoothing splines and their comparison to bayesian confidence intervals Journal of Statistical Computation and Simulation. 51: 263-279. DOI: 10.1080/00949659508811637 |
0.535 |
|
1995 |
Wahba G, Wang Y. Behavior near zero of the distribution of GCV smoothing parameter estimates Statistics and Probability Letters. 25: 105-111. DOI: 10.1016/0167-7152(94)00211-P |
0.51 |
|
1993 |
Gu C, Wahba G. Smoothing Spline ANOVA With Component-Wise Bayesian “Confidence Intervals” Journal of Computational and Graphical Statistics. 2: 97-117. DOI: 10.1080/10618600.1993.10474601 |
0.402 |
|
1993 |
Bates D, Reames F, Wahba G. Getting better contour plots with S and GCVPACK Computational Statistics and Data Analysis. 15: 329-342. DOI: 10.1016/0167-9473(93)90260-Z |
0.362 |
|
1992 |
Gu C, Heckman N, Wahba G. A note on generalized cross-validation with replicates Statistics and Probability Letters. 14: 283-287. DOI: 10.1016/0167-7152(92)90058-D |
0.44 |
|
1991 |
S. LL, Wahba G. Spline Models for Observational Data. Mathematics of Computation. 57: 444. DOI: 10.2307/2938687 |
0.348 |
|
1991 |
Gu C, Wahba G. Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method Siam Journal On Scientific and Statistical Computing. 12: 383-398. DOI: 10.1137/0912021 |
0.433 |
|
1990 |
Wahba G, Wang Y. When is the optimal regularization parameter insensitive to the choice of the loss function? Communications in Statistics - Theory and Methods. 19: 1685-1700. DOI: 10.1080/03610929008830285 |
0.351 |
|
1989 |
Gu C, Bates DM, Chen Z, Wahba G. The Computation of Generalized Cross-Validation Functions Through Householder Tridiagonalization with Applications to the Fitting of Interaction Spline Models Siam Journal On Matrix Analysis and Applications. 10: 457-480. DOI: 10.1137/0610033 |
0.4 |
|
1988 |
Shiau JJH, Wahba G. Rates of convergence of some estimators for a semiparametric model Communications in Statistics - Simulation and Computation. 17: 1117-1133. DOI: 10.1080/03610918808812716 |
0.397 |
|
1987 |
Bates DM, Lindstrom MJ, Wahba G, Yandell BS. Gcvpack - routines for generalized cross validation Communications in Statistics - Simulation and Computation. 16: 263-297. DOI: 10.1080/03610918708812590 |
0.409 |
|
1987 |
Villalobos M, Wahba G. Inequality-constrained multivariate smoothing splines with application to the estimation of posterior probabilities Journal of the American Statistical Association. 82: 239-248. DOI: 10.1080/01621459.1987.10478426 |
0.44 |
|
1986 |
Wahba G. [A Statistical Perspective on Ill-Posed Inverse Problems]: Comment Statistical Science. 1: 521-522. DOI: 10.1214/Ss/1177013527 |
0.324 |
|
1986 |
Shiau J, Wahba G, Johnson DR. Partial Spline Models for the Inclusion of Tropopause and Frontal Boundary Information in Otherwise Smooth Two- and Three-Dimensional Objective Analysis Journal of Atmospheric and Oceanic Technology. 3: 714-725. DOI: 10.1175/1520-0426(1986)003<0714:Psmfti>2.0.Co;2 |
0.382 |
|
1985 |
Wahba G. Design Criteria and Eigensequence Plots for Satellite-Computed Tomography Journal of Atmospheric and Oceanic Technology. 2: 125-132. DOI: 10.1175/1520-0426(1985)002<0125:Dcaepf>2.0.Co;2 |
0.349 |
|
1985 |
O'Sullivan F, Wahba G. A cross validated bayesian retrieval algorithm for nonlinear remote sensing experiments Journal of Computational Physics. 59: 441-455. DOI: 10.1016/0021-9991(85)90121-4 |
0.324 |
|
1984 |
Wahba G. Surface fitting with scattered noisy data on Euclidean D-space and on the sphere Rocky Mountain Journal of Mathematics. 14: 281-299. DOI: 10.1216/Rmj-1984-14-1-281 |
0.421 |
|
1984 |
Nychka D, Wahba G, Goldfarb S, Pugh T. Cross-validated spline methods for the estimation of three-dimensional tumor size distributions from observations on two-dimensional cross sections Journal of the American Statistical Association. 79: 832-846. DOI: 10.1080/01621459.1984.10477100 |
0.419 |
|
1983 |
Villalobos MA, Wahba G. Multivariate Thin Plate Spline Estimates for the Posterior Probabilities in the Classification Problem Communications in Statistics - Theory and Methods. 12: 1449-1479. DOI: 10.1080/03610928308828544 |
0.412 |
|
1982 |
Wahba G. Erratum: Spline Interpolation and Smoothing on the Sphere Siam Journal On Scientific and Statistical Computing. 3: 385-386. DOI: 10.1137/0903024 |
0.301 |
|
1982 |
Dyn N, Wahba G. On the Estimation of Functions of Several Variables from Aggregated Data Siam Journal On Mathematical Analysis. 13: 134-152. DOI: 10.1137/0513010 |
0.409 |
|
1981 |
Wahba G. Data-Based Optimal Smoothing of Orthogonal Series Density Estimates The Annals of Statistics. 9: 146-156. DOI: 10.1214/Aos/1176345341 |
0.373 |
|
1981 |
Wahba G. Numerical Experiments with the thin Plate Histospline Communications in Statistics - Theory and Methods. 10: 2475-2514. DOI: 10.1080/03610928108828205 |
0.35 |
|
1980 |
Wahba G, Wendelberger J. Some New Mathematical Methods for Variational Objective Analysis Using Splines and Cross Validation Monthly Weather Review. 108: 1122-1143. DOI: 10.1175/1520-0493(1980)108<1122:Snmmfv>2.0.Co;2 |
0.34 |
|
1980 |
Wahba G. Parameter Estimation in Linear Dynamic Systems Ieee Transactions On Automatic Control. 25: 235-238. DOI: 10.1109/Tac.1980.1102286 |
0.343 |
|
1980 |
Wahba G. Automatic smoothing of the log periodogram Journal of the American Statistical Association. 75: 122-132. DOI: 10.1080/01621459.1980.10477441 |
0.414 |
|
1979 |
Golub GH, Heath M, Wahba G. Generalized cross-validation as a method for choosing a good ridge parameter Technometrics. 21: 215-223. DOI: 10.1080/00401706.1979.10489751 |
0.408 |
|
1979 |
Athavale ML, Wahba G. Determination of an optimal mesh for a collocation-projection method for solving two-point boundary value problems Journal of Approximation Theory. 25: 38-49. DOI: 10.1016/0021-9045(79)90032-7 |
0.34 |
|
1978 |
Wahba G. Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression Journal of the Royal Statistical Society: Series B (Methodological). 40: 364-372. DOI: 10.1111/J.2517-6161.1978.Tb01050.X |
0.466 |
|
1978 |
Craven P, Wahba G. Smoothing noisy data with spline functions - Estimating the correct degree of smoothing by the method of generalized cross-validation Numerische Mathematik. 31: 377-403. DOI: 10.1007/Bf01404567 |
0.342 |
|
1977 |
Bickel PJ, Breiman L, Brillinger DR, Brunk HD, Pierce DA, Chernoff H, Cover TM, Cox DR, Eddy WF, Hampel F, Olshen RA, Parzen E, Rosenblatt M, Sacks J, Wahba G. Discussion: Consistent Nonparametric Regression The Annals of Statistics. 5: 620-640. DOI: 10.1214/Aos/1176343887 |
0.313 |
|
1976 |
Wahba G. Histosplines with Knots Which are Order Statistics Journal of the Royal Statistical Society Series B-Methodological. 38: 140-151. DOI: 10.1111/J.2517-6161.1976.Tb01578.X |
0.38 |
|
1976 |
Miranker WL, Wahba G. An averaging method for the stiff highly oscillatory problem Mathematics of Computation. 30: 383-399. DOI: 10.1090/S0025-5718-1976-0423817-0 |
0.336 |
|
1975 |
Wahba G. Interpolating Spline Methods for Density Estimation I. Equi-Spaced Knots The Annals of Statistics. 3: 30-48. DOI: 10.1214/Aos/1176342998 |
0.378 |
|
1975 |
Wahba G. Optimal Convergence Properties of Variable Knot, Kernel, and Orthogonal Series Methods for Density Estimation The Annals of Statistics. 3: 15-29. DOI: 10.1214/Aos/1176342997 |
0.378 |
|
1975 |
Wahba G, Wold S. Periodic splines for spectral density estimation: the use of cross validation for determining the degree of smoothing Communications in Statistics. 4: 125-141. DOI: 10.1080/03610927508827233 |
0.369 |
|
1975 |
Wahba G, Wold S. A completely automatic french curve: fitting spline functions by cross validation Communications in Statistics. 4: 1-17. DOI: 10.1080/03610927508827223 |
0.378 |
|
1975 |
Nashed MZ, Wahba G. Some exponentially decreasing error bounds for a numerical inversion of the Laplace transform Journal of Mathematical Analysis and Applications. 52: 660-668. DOI: 10.1016/0022-247X(75)90087-6 |
0.322 |
|
1973 |
Wahba G. On the Minimization of a Quadratic Functional Subject to a Continuous Family of Linear Inequality Constraints Siam Journal On Control. 11: 64-79. DOI: 10.1137/0311005 |
0.322 |
|
1971 |
Wahba G. A Polynomial Algorithm for Density Estimation The Annals of Mathematical Statistics. 42: 1870-1886. DOI: 10.1214/Aoms/1177693053 |
0.313 |
|
1971 |
Kimeldorf G, Wahba G. Some results on Tchebycheffian spline functions Journal of Mathematical Analysis and Applications. 33: 82-95. DOI: 10.1016/0022-247X(71)90184-3 |
0.387 |
|
1970 |
Kimeldorf GS, Wahba G. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines The Annals of Mathematical Statistics. 41: 495-502. DOI: 10.1214/Aoms/1177697089 |
0.382 |
|
1969 |
Wahba G. Estimation of the Coefficients in a Multidimensional Distributed Lag Model Econometrica. 37: 398. DOI: 10.2307/1912789 |
0.352 |
|
1968 |
Wahba G. On the Distribution of Some Statistics Useful in the Analysis of Jointly Stationary Time Series The Annals of Mathematical Statistics. 39: 1849-1862. DOI: 10.1214/Aoms/1177698017 |
0.311 |
|
1965 |
Wahba G. A Least Squares Estimate of Satellite Attitude Siam Review. 7: 409-409. DOI: 10.1137/1007077 |
0.328 |
|
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