Grace Wahba - Publications

University of Wisconsin, Madison, Madison, WI 

66 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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  0.44
2017 Zhou HH, Zhang Y, Ithapu VK, Johnson SC, Wahba G, Singh V. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications. Proceedings of Machine Learning Research. 70: 4170-4179. PMID 31742253  0.44
2016 Zhou HH, Ravi SN, Ithapu VK, Johnson SC, Wahba G, Singh V. Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. Advances in Neural Information Processing Systems. 29: 2496-2504. PMID 29308004  0.44
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  1
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  1
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  1
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  1
2013 Dai B, Ding S, Wahba G. Multivariate Bernoulli distribution Bernoulli. 19: 1465-1483. DOI: 10.3150/12-Bejsp10  1
2012 Kong J, Klein BE, Klein R, Lee KE, Wahba G. Using distance correlation and SS-ANOVA to assess associations of familial relationships, lifestyle factors, diseases, and mortality. Proceedings of the National Academy of Sciences of the United States of America. 109: 20352-7. PMID 23175793 DOI: 10.1073/Pnas.1217269109  1
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  1
2011 Ding S, Wahba G, Zhu X. Learning higher-order graph structure with features by structure penalty Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
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  1
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  1
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  1
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  0.76
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  0.76
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  0.76
2007 Wahba G. 23 Statistical Learning in Medical Data Analysis Handbook of Statistics. 27: 679-711. DOI: 10.1016/S0169-7161(07)27023-3  1
2006 Wahba G. A statistician thinks about machine learning Statistica Sinica. 16: 305-306.  1
2006 Leng C, Lin Y, Wahba G. A note on the Lasso and related procedures in model selection Statistica Sinica. 16: 1273-1284.  1
2006 Lu F, Hill GC, Wahba G, Desiati P. Signal probability estimation with penalized likelihood method on weighted data Statistica Sinica. 16: 459-469.  1
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  1
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  1
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  1
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  1
2004 Nason G, Moulines E, Robert CP, Andrieu C, Stoffelen A, Paul D, Abramovich F, Aykroyd RG, West RM, Meng S, Butucea C, Cavalier L, Cressie N, Davy M, De Canditiis D, ... ... Wahba G, et al. Dicussion on the meeting on 'Statistical approaches to inverse problems' Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 627-652. DOI: 10.1111/J.1467-9868.2004.2060D.X  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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.  1
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  1
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  1
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  1
1997 Luo Z, Wahba G. Hybrid adaptive splines Journal of the American Statistical Association. 92: 107-116. DOI: 10.1080/01621459.1997.10473607  1
1996 Xiang D, Wahba G. A generalized approximate cross validation for smoothing splines with non-Gaussian data Statistica Sinica. 6: 675-692.  1
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  1
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  1
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  1
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  1
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  1
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  1
1987 Wahba G. Comment Journal of the American Statistical Association. 82: 1055-1056. DOI: 10.1214/088342306000000457  1
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  1
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  1
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  1
1984 Wahba G, Pugh TD, King JH, Goldfarb S, Chover J, Nychka D, Koen H. Optimal Use of Sampled Tissue Sections for Estimating the Number of Hepatocellular Foci Cancer Research. 44: 178-183. PMID 6360345  1
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  1
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  1
1983 Pugh TD, King JH, Koen H, He Y, Goldfarb S, Chover J, Nychka D, Wahba G. Reliable Stereological Method for Estimating the Number of Microscopic Hepatocellular Foci from Their Transections Cancer Research. 43: 1261-1268. PMID 6825098  1
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  1
1981 Wahba G. Numerical Experiments with the thin Plate Histospline Communications in Statistics - Theory and Methods. 10: 2475-2514. DOI: 10.1080/03610928108828205  1
1980 Wahba G. Parameter Estimation in Linear Dynamic Systems Ieee Transactions On Automatic Control. 25: 235-238. DOI: 10.1109/Tac.1980.1102286  1
1980 Wahba G. Automatic smoothing of the log periodogram Journal of the American Statistical Association. 75: 122-132. DOI: 10.1080/01621459.1980.10477441  1
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  1
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  1
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  1
1976 Wahba G. On the optimal choice of nodes in the collocation-projection method for solving linear operator equations Journal of Approximation Theory. 16: 175-186. DOI: 10.1016/0021-9045(76)90046-0  1
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  1
1975 Wahba G. Smoothing noisy data with spline functions Numerische Mathematik. 24: 383-393. DOI: 10.1007/Bf01437407  1
1973 Wahba G. A class of approximate solutions to linear operator equations Journal of Approximation Theory. 9: 61-77. DOI: 10.1016/0021-9045(73)90112-3  1
1973 Wahba G. Convergence rates of certain approximate solutions to Fredholm integral equations of the first kind Journal of Approximation Theory. 7: 167-185. DOI: 10.1016/0021-9045(73)90064-6  1
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  1
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