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Luo Xiao, Ph.D. - Publications

Affiliations: 
2012 Cornell University, Ithaca, NY, United States 
Area:
Statistics
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31 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
2023 Li R, Xiao L. Latent factor model for multivariate functional data. Biometrics. PMID 37661821 DOI: 10.1111/biom.13924  0.33
2022 Cui E, Li R, Crainiceanu CM, Xiao L. Fast Multilevel Functional Principal Component Analysis. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 366-377. PMID 37313008 DOI: 10.1080/10618600.2022.2115500  0.545
2022 Li R, Xiao L, Smirnova E, Cui E, Leroux A, Crainiceanu CM. Fixed-effects inference and tests of correlation for longitudinal functional data. Statistics in Medicine. PMID 35491388 DOI: 10.1002/sim.9421  0.557
2022 Weaver C, Xiao L, Lu W. Functional data analysis for longitudinal data with informative observation times. Biometrics. PMID 35188270 DOI: 10.1111/biom.13646  0.388
2020 Li C, Xiao L, Luo S. Fast Covariance Estimation for Multivariate Sparse Functional Data. Stat (International Statistical Institute). 9. PMID 34262756 DOI: 10.1002/sta4.245  0.379
2020 Feng Y, Xiao L, Chi EC. Sparse Single Index Models for Multivariate Responses Journal of Computational and Graphical Statistics. 1-10. DOI: 10.1080/10618600.2020.1779080  0.333
2020 Li C, Xiao L. Optimal design for classification of functional data Canadian Journal of Statistics-Revue Canadienne De Statistique. 48: 285-307. DOI: 10.1002/Cjs.11531  0.366
2019 Ma W, Xiao L, Liu B, Lindquist MA. A functional mixed model for scalar on function regression with application to a functional MRI study. Biostatistics (Oxford, England). PMID 31631222 DOI: 10.1093/Biostatistics/Kxz046  0.421
2018 Chen ST, Xiao L, Staicu AM. A Smoothing-based Goodness-of-Fit Test of Covariance for Functional Data. Biometrics. PMID 30450612 DOI: 10.1111/Biom.13005  0.426
2018 Park SY, Xiao L, Willbur JD, Staicu AM, Jumbe NL. A joint design for functional data with application to scheduling ultrasound scans. Computational Statistics & Data Analysis. 122: 101-114. PMID 29861518 DOI: 10.1016/J.Csda.2018.01.009  0.346
2018 Anderson C, Xiao L, Checkley W. Using data from multiple studies to develop a child growth correlation matrix. Statistics in Medicine. PMID 29700850 DOI: 10.1002/Sim.7696  0.352
2018 Grigsby MR, Di J, Leroux A, Zipunnikov V, Xiao L, Crainiceanu C, Checkley W. Novel metrics for growth model selection. Emerging Themes in Epidemiology. 15: 4. PMID 29483933 DOI: 10.1186/S12982-018-0072-Z  0.548
2018 Xiao L, Li C, Checkley W, Crainiceanu C. Fast covariance estimation for sparse functional data. Statistics and Computing. 28: 511-522. PMID 29449762 DOI: 10.1007/S11222-017-9744-8  0.606
2018 Xiao L. Asymptotics of bivariate penalised splines Journal of Nonparametric Statistics. 31: 289-314. DOI: 10.1080/10485252.2018.1563295  0.32
2017 Leroux A, Xiao L, Crainiceanu C, Checkley W. Dynamic prediction in functional concurrent regression with an application to child growth. Statistics in Medicine. PMID 29230836 DOI: 10.1002/Sim.7582  0.579
2017 Park SY, Staicu AM, Xiao L, Crainiceanu CM. Simple fixed-effects inference for complex functional models. Biostatistics (Oxford, England). PMID 29036541 DOI: 10.1093/Biostatistics/Kxx026  0.596
2017 Bai J, Di C, Xiao L, Evenson K, LaCroix A, Crainiceanu C, Buchner D. AN ACTIVITY INDEX FOR RAW ACCELEROMETRY DATA AND ITS APPLICATION IN OLDER ADULTS Innovation in Aging. 1: 1239-1239. DOI: 10.1093/Geroni/Igx004.4497  0.505
2017 Xiao L, Li C, Checkley W, Crainiceanu C. Erratum to: Fast covariance estimation for sparse functional data Statistics and Computing. 28: 523-523. DOI: 10.1007/S11222-017-9768-0  0.594
2016 Bien J, Bunea F, Xiao L. Convex Banding of the Covariance Matrix. Journal of the American Statistical Association. 111: 834-845. PMID 28042189 DOI: 10.1080/01621459.2015.1058265  0.344
2016 Huang L, Reiss PT, Xiao L, Zipunnikov V, Lindquist MA, Crainiceanu CM. Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data. Biostatistics (Oxford, England). PMID 27578805 DOI: 10.1093/Biostatistics/Kxw040  0.571
2016 Bai J, Di C, Xiao L, Evenson KR, LaCroix AZ, Crainiceanu CM, Buchner DM. An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics. Plos One. 11: e0160644. PMID 27513333 DOI: 10.1371/Journal.Pone.0160644  0.538
2016 Schrack JA, Xiao L, Zipunnikov V, Simonsick EM, Studenski S, Crainiceanu C, Ferrucci L. Quantifying Longitudinal Patterns and Trends of Objectively Measured Physical Activity Across the Age Spectrum: 2104 Board #256 June 2, 2: 00 PM - 3: 30 PM. Medicine and Science in Sports and Exercise. 48: 592. PMID 27360929 DOI: 10.1249/01.mss.0000486777.20904.7a  0.431
2016 Xiao L, Zipunnikov V, Ruppert D, Crainiceanu C. Fast Covariance Estimation for High-dimensional Functional Data. Statistics and Computing. 26: 409-421. PMID 26903705 DOI: 10.1007/S11222-014-9485-X  0.671
2016 Hooker G, Ramsay JO, Xiao L. CollocInfer: Collocation Inference in Differential Equation Models Journal of Statistical Software. 75: 1-52. DOI: 10.18637/Jss.V075.I02  0.341
2015 Xiao L, He B, Koster A, Caserotti P, Lange-Maia B, Glynn NW, Harris TB, Crainiceanu CM. Movement prediction using accelerometers in a human population. Biometrics. PMID 26288278 DOI: 10.1111/Biom.12382  0.53
2015 Xiao L, Huang L, Schrack JA, Ferrucci L, Zipunnikov V, Crainiceanu CM. Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach. Biostatistics (Oxford, England). 16: 352-67. PMID 25361695 DOI: 10.1093/Biostatistics/Kxu045  0.587
2015 Bunea F, Xiao L. On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA Bernoulli. 21: 1200-1230. DOI: 10.3150/14-Bej602  0.377
2014 Ma X, Xiao L, Wong WH. Learning regulatory programs by threshold SVD regression. Proceedings of the National Academy of Sciences of the United States of America. 111: 15675-80. PMID 25331876 DOI: 10.1073/Pnas.1417808111  0.307
2014 Xiao L, Thurston SW, Ruppert D, Love TM, Davidson PW. Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study. Journal of the American Statistical Association. 109: 1-10. PMID 24729645 DOI: 10.1080/01621459.2013.830070  0.511
2013 Xiao L, Li Y, Ruppert D. Fast bivariate P-splines: The sandwich smoother Journal of the Royal Statistical Society. Series B: Statistical Methodology. 75: 577-599. DOI: 10.1111/Rssb.12007  0.693
2012 Thurston S, Xiao L, Ruppert D, Love T, Davidson P. O-093: Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study Epidemiology. 23: 1. DOI: 10.1097/01.Ede.0000416751.62695.Bc  0.505
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