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Lexin Li, Ph.D. - Publications

Affiliations: 
2003 University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Statistics
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53 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
2022 Dai X, Lyu X, Li L. Kernel Knockoffs Selection for Nonparametric Additive Models. Journal of the American Statistical Association. 118: 2158-2170. PMID 38143786 DOI: 10.1080/01621459.2022.2039671  0.303
2022 Li L, Zeng J, Zhang X. Generalized Liquid Association Analysis for Multimodal Data Integration. Journal of the American Statistical Association. 118: 1984-1996. PMID 38099062 DOI: 10.1080/01621459.2021.2024437  0.336
2022 Dai X, Li L. Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis. Journal of the American Statistical Association. 118: 1796-1810. PMID 37771509 DOI: 10.1080/01621459.2021.2013851  0.348
2022 Zhao Y, Li L. Multimodal data integration via mediation analysis with high-dimensional exposures and mediators. Human Brain Mapping. PMID 35129252 DOI: 10.1002/hbm.25800  0.308
2021 Dai X, Li L. Kernel Ordinary Differential Equations. Journal of the American Statistical Association. 117: 1711-1725. PMID 36845295 DOI: 10.1080/01621459.2021.1882466  0.322
2020 Zhao Y, Li L, Caffo BS. Multimodal neuroimaging data integration and pathway analysis. Biometrics. PMID 32789850 DOI: 10.1111/Biom.13351  0.399
2019 Zhang X, Li L, Zhou H, Zhou Y, Shen D. TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS. Statistica Sinica. 29: 1977-2005. PMID 32523321 DOI: 10.5705/Ss.202017.0153  0.378
2019 Ye Y, Xia Y, Li L. Paired test of matrix graphs and brain connectivity analysis. Biostatistics (Oxford, England). PMID 31631218 DOI: 10.1093/Biostatistics/Kxz037  0.306
2019 Wang W, Zhang X, Li L. Common Reducing Subspace Model and Network Alternation Analysis. Biometrics. PMID 31140579 DOI: 10.1111/Biom.13099  0.464
2018 Li X, Xu D, Zhou H, Li L. Tucker Tensor Regression and Neuroimaging Analysis. Statistics in Biosciences. 10: 520-545. PMID 34354773 DOI: 10.1007/s12561-018-9215-6  0.302
2018 Li Q, Li L. Integrative linear discriminant analysis with guaranteed error rate improvement. Biometrika. 105: 917-930. PMID 31762476 DOI: 10.1093/Biomet/Asy047  0.391
2018 Zhu Y, Li L. Multiple Matrix Gaussian Graphs Estimation. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 80: 927-950. PMID 30505211 DOI: 10.1111/Rssb.12278  0.357
2018 Li L, Kang J, Lockhart SN, Adams J, Jagust WJ. Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data. Ieee Transactions On Medical Imaging. PMID 30028695 DOI: 10.1109/Tmi.2018.2857221  0.313
2018 Li X, Xu D, Zhou H, Li L. Tucker Tensor Regression and Neuroimaging Analysis Statistics in Biosciences. 10: 520-545. DOI: 10.1007/S12561-018-9215-6  0.409
2017 Li L, Zhang X. Parsimonious Tensor Response Regression Journal of the American Statistical Association. 112: 1131-1146. DOI: 10.1080/01621459.2016.1193022  0.42
2016 Xia Y, Li L. Hypothesis testing of matrix graph model with application to brain connectivity analysis. Biometrics. PMID 27959470 DOI: 10.1111/Biom.12633  0.365
2016 Li Z, Suk HI, Shen D, Li L. Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study with Multivariate Clinical Assessments. Ieee Transactions On Medical Imaging. PMID 26960221 DOI: 10.1109/Tmi.2016.2538289  0.308
2016 Zhang X, Li L. Tensor Envelope Partial Least-Squares Regression Technometrics. 59: 426-436. DOI: 10.1080/00401706.2016.1272495  0.411
2015 Guo Z, Li L, Lu W, Li B. Groupwise Dimension Reduction via Envelope Method. Journal of the American Statistical Association. 110: 1515-1527. PMID 26973362 DOI: 10.1080/01621459.2014.970687  0.411
2015 Guo Z, Lu W, Li L. Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression. Statistics in Biosciences. 7: 225-244. PMID 26904152 DOI: 10.1007/S12561-014-9114-4  0.457
2014 Zhou H, Li L. Regularized matrix regression. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 76: 463-483. PMID 24648830 DOI: 10.1111/Rssb.12031  0.412
2014 Ding X, Li L, Zhu L. Goodness-of-fit testing-based selection for large-p-small-n problems: A two-stage ranking approach Journal of Statistical Planning and Inference. 145: 148-164. DOI: 10.1016/J.Jspi.2013.08.012  0.351
2013 Zhou H, Li L, Zhu H. Tensor Regression with Applications in Neuroimaging Data Analysis. Journal of the American Statistical Association. 108: 540-552. PMID 24791032 DOI: 10.1080/01621459.2013.776499  0.451
2013 Zhao J, Leng C, Li L, Wang H. High Dimensional Influence Measure Annals of Statistics. 41: 2639-2667. DOI: 10.1214/13-Aos1165  0.404
2012 Zhu H, Li L, Zhou H. Nonlinear dimension reduction with Wright-Fisher kernel for genotype aggregation and association mapping. Bioinformatics (Oxford, England). 28: i375-i381. PMID 22962455 DOI: 10.1093/Bioinformatics/Bts406  0.359
2012 Sun W, Li L. Multiple loci mapping via model-free variable selection. Biometrics. 68: 12-22. PMID 21838809 DOI: 10.1111/J.1541-0420.2011.01650.X  0.374
2011 Zhu L, Li L, Li R, Zhu L. Model-Free Feature Screening for Ultrahigh Dimensional Data. Journal of the American Statistical Association. 106: 1464-1475. PMID 22754050 DOI: 10.1198/Jasa.2011.Tm10563  0.406
2011 Wu Y, Li L. ASYMPTOTIC PROPERTIES OF SUFFICIENT DIMENSION REDUCTION WITH A DIVERGING NUMBER OF PREDICTORS. Statistica Sinica. 2011: 707-730. PMID 22140299 DOI: 10.5705/Ss.2011.031A  0.44
2011 Zhu H, Li L. Biological pathway selection through nonlinear dimension reduction. Biostatistics (Oxford, England). 12: 429-44. PMID 21252081 DOI: 10.1093/Biostatistics/Kxq081  0.388
2011 Reich BJ, Bondell HD, Li L. Sufficient dimension reduction via bayesian mixture modeling. Biometrics. 67: 886-95. PMID 21039398 DOI: 10.1111/J.1541-0420.2010.01501.X  0.453
2011 Lu W, Li L. Sufficient dimension reduction for censored regressions. Biometrics. 67: 513-23. PMID 20880013 DOI: 10.1111/J.1541-0420.2010.01490.X  0.475
2011 Li B, Artemiou A, Li L. Principal support vector machines for linear and nonlinear sufficient dimension reduction Annals of Statistics. 39: 3182-3210. DOI: 10.1214/11-Aos932  0.376
2011 Li L, Zhu L, Zhu L. Inference on the primary parameter of interest with the aid of dimension reduction estimation Journal of the Royal Statistical Society Series B-Statistical Methodology. 73: 59-80. DOI: 10.1111/J.1467-9868.2010.00759.X  0.431
2010 Li L. Dimension reduction for high-dimensional data. Methods in Molecular Biology (Clifton, N.J.). 620: 417-34. PMID 20652514 DOI: 10.1007/978-1-60761-580-4_14  0.409
2010 Li L, Li B, Zhu L. Groupwise Dimension Reduction Journal of the American Statistical Association. 105: 1188-1201. DOI: 10.1198/Jasa.2010.Tm09643  0.4
2010 Cai Y, Chow M, Lu W, Li L. Statistical Feature Selection From Massive Data in Distribution Fault Diagnosis Ieee Transactions On Power Systems. 25: 642-648. DOI: 10.1109/Tpwrs.2009.2036924  0.316
2009 Cook RD, Li L. Dimension Reduction in Regressions With Exponential Family Predictors Journal of Computational and Graphical Statistics. 18: 774-791. DOI: 10.1198/Jcgs.2009.08005  0.431
2009 Bondell HD, Li L. Shrinkage inverse regression estimation for model-free variable selection Journal of the Royal Statistical Society: Series B (Statistical Methodology). 71: 287-299. DOI: 10.1111/J.1467-9868.2008.00686.X  0.431
2009 Li L, Yin X. Longitudinal data analysis using sufficient dimension reduction method Computational Statistics & Data Analysis. 53: 4106-4115. DOI: 10.1016/J.Csda.2009.04.018  0.442
2009 Li L. Exploiting predictor domain information in sufficient dimension reduction Computational Statistics & Data Analysis. 53: 2665-2672. DOI: 10.1016/J.Csda.2009.01.007  0.366
2008 Lu W, Li L. Boosting method for nonlinear transformation models with censored survival data. Biostatistics (Oxford, England). 9: 658-67. PMID 18344565 DOI: 10.1093/Biostatistics/Kxn005  0.419
2008 Li L, Yin X. Sliced inverse regression with regularizations. Biometrics. 64: 124-31. PMID 17651455 DOI: 10.1111/J.1541-0420.2007.00836.X  0.455
2008 Li L, Lu W. Sufficient Dimension Reduction With Missing Predictors Journal of the American Statistical Association. 103: 822-831. DOI: 10.1198/016214508000000283  0.496
2008 Li L, Tsai CL. Constrained regression model selection Journal of Statistical Planning and Inference. 138: 3939-3949. DOI: 10.1016/J.Jspi.2008.02.006  0.332
2007 Li L, Nachtsheim CJ. Comment: Fisher lecture: Dimension reduction in regression Statistical Science. 22: 36-39. DOI: 10.1214/088342307000000050  0.681
2007 Li L, Simonoff JS, Tsai C. Tobit Model Estimation and Sliced Inverse Regression Statistical Modelling. 7: 107-123. DOI: 10.1177/1471082X0700700201  0.4
2007 Li L. Sparse sufficient dimension reduction Biometrika. 94: 603-613. DOI: 10.1093/Biomet/Asm044  0.465
2007 Li L, Cook RD, Tsai CL. Partial inverse regression Biometrika. 94: 615-625. DOI: 10.1093/Biomet/Asm043  0.439
2006 Li L. Survival prediction of diffuse large-B-cell lymphoma based on both clinical and gene expression information. Bioinformatics (Oxford, England). 22: 466-71. PMID 16339281 DOI: 10.1093/Bioinformatics/Bti824  0.317
2006 Li L, Nachtsheim CJ. Sparse sliced inverse regression Technometrics. 48: 503-510. DOI: 10.1198/004017006000000129  0.68
2006 Azari R, Li L, Tsai C. Longitudinal data model selection Computational Statistics & Data Analysis. 50: 3053-3066. DOI: 10.1016/J.Csda.2005.05.009  0.356
2005 Li L, Cook RD, Nachtsheim CJ. Model-free variable selection Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67: 285-299. DOI: 10.1111/J.1467-9868.2005.00502.X  0.676
2004 Li L, Cook RD, Nachtsheim CJ. Cluster-based estimation for sufficient dimension reduction Computational Statistics and Data Analysis. 47: 175-193. DOI: 10.1016/J.Csda.2003.10.017  0.65
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