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Fang Yao, Ph.D. - Publications

Affiliations: 
2003 University of California, Davis, Davis, CA 
Area:
Statistics
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39 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
2020 Lin Z, Yao F. Functional regression on the manifold with contamination Biometrika. DOI: 10.1093/Biomet/Asaa041  0.372
2019 Lin Z, Yao F. Intrinsic Riemannian functional data analysis Annals of Statistics. 47: 3533-3577. DOI: 10.1214/18-Aos1787  0.419
2018 Lin Z, Müller H, Yao F. Mixture inner product spaces and their application to functional data analysis The Annals of Statistics. 46: 370-400. DOI: 10.1214/17-Aos1553  0.323
2018 Koudstaal M, Yao F. From multiple Gaussian sequences to functional data and beyond: a Stein estimation approach Journal of the Royal Statistical Society Series B-Statistical Methodology. 80: 319-342. DOI: 10.1111/Rssb.12255  0.431
2017 Dai X, Müller H, Yao F. Optimal Bayes Classifiers for Functional Data and Density Ratios Biometrika. 104: 545-560. DOI: 10.1093/Biomet/Asx024  0.401
2017 Yao F, Sue-Chee S, Wang F. Regularized partially functional quantile regression Journal of Multivariate Analysis. 156: 39-56. DOI: 10.1016/J.Jmva.2017.02.001  0.46
2016 Kong D, Xue K, Yao F, Zhang HH. Partially functional linear regression in high dimensions Biometrika. 103: 147-159. DOI: 10.1093/Biomet/Asv062  0.491
2016 Yao F, Wu Y, Zou J. Probability-enhanced effective dimension reduction for classifying sparse functional data Test. 1-22. DOI: 10.1007/S11749-015-0470-2  0.413
2015 Yao F, Lei E, Wu Y. Effective dimension reduction for sparse functional data. Biometrika. 102: 421-437. PMID 26566293 DOI: 10.1093/Biomet/Asv006  0.397
2015 Lei E, Yao F, Heckman N, Meyer K. Functional Data Model for Genetically Related Individuals With Application to Cow Growth Journal of Computational and Graphical Statistics. 24: 756-770. DOI: 10.1080/10618600.2014.948180  0.343
2014 Zhu H, Yao F, Zhang HH. Structured functional additive regression in reproducing kernel Hilbert spaces. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 76: 581-603. PMID 25013362 DOI: 10.1111/Rssb.12036  0.457
2014 Zhang M, Wu JF, Chen WJ, Tang SL, Mo ZC, Tang YY, Li Y, Wang JL, Liu XY, Peng J, Chen K, He PP, Lv YC, Ouyang XP, Yao F, et al. MicroRNA-27a/b regulates cellular cholesterol efflux, influx and esterification/hydrolysis in THP-1 macrophages. Atherosclerosis. 234: 54-64. PMID 24608080 DOI: 10.1016/j.atherosclerosis.2014.02.008  0.367
2014 Li L, Yao F, Craiu RV, Zou J. Minimum description length principle for linear mixed effects models Statistica Sinica. 24: 1161-1178. DOI: 10.5705/Ss.2011.230  0.41
2014 Wong RKW, Yao F, Lee TCM. Robust estimation for generalized additive models Journal of Computational and Graphical Statistics. 23: 270-289. DOI: 10.1080/10618600.2012.756816  0.384
2013 Acar EF, Craiu RV, Yao F. Statistical testing of covariate effects in conditional copula models Electronic Journal of Statistics. 7: 2822-2850. DOI: 10.1214/13-Ejs866  0.403
2013 Muller H, Wu Y, Yao F. Continuously additive models for nonlinear functional regression Biometrika. 100: 607-622. DOI: 10.1093/Biomet/Ast004  0.378
2011 Yao F, Fu Y, Lee TC. Functional mixture regression. Biostatistics (Oxford, England). 12: 341-53. PMID 21030384 DOI: 10.1093/Biostatistics/Kxq067  0.459
2011 Acar EF, Craiu RV, Yao F. Dependence calibration in conditional copulas: a nonparametric approach. Biometrics. 67: 445-53. PMID 20731648 DOI: 10.1111/J.1541-0420.2010.01472.X  0.445
2010 Müller H, Yao F. Empirical dynamics for longitudinal data Annals of Statistics. 38: 3458-3486. DOI: 10.1214/09-Aos786  0.348
2010 Lai RCS, Lee TCM, Wong RKW, Yao F. Nonparametric Cepstrum Estimation via Optimal Risk Smoothing Ieee Transactions On Signal Processing. 58: 1507-1514. DOI: 10.1109/Tsp.2009.2036067  0.368
2010 Muller H, Yao F. Additive modelling of functional gradients Biometrika. 97: 791-805. DOI: 10.1093/Biomet/Asq056  0.451
2010 Yao F, Muller H. Functional quadratic regression Biometrika. 97: 49-64. DOI: 10.1093/Biomet/Asp069  0.418
2009 Zou S, Carey JR, Liedo P, Ingram DK, Müller HG, Wang JL, Yao F, Yu B, Zhou A. The prolongevity effect of resveratrol depends on dietary composition and calorie intake in a tephritid fruit fly. Experimental Gerontology. 44: 472-6. PMID 19264118 DOI: 10.1016/J.Exger.2009.02.011  0.454
2009 Hall P, Müller H, Yao F. Estimation Of Functional Derivatives Annals of Statistics. 37: 3307-3329. DOI: 10.1214/09-Aos686  0.467
2009 Yao F, Lee TCM. Automatic and asymptotically optimal data sharpening for nonparametric regression Journal of Statistical Planning and Inference. 139: 4017-4030. DOI: 10.1016/J.Jspi.2009.05.006  0.321
2009 Yao F, Craiu RV, Reiser B. Nonparametric covariate adjustment for receiver operating characteristic curves Canadian Journal of Statistics-Revue Canadienne De Statistique. 38: 27-46. DOI: 10.1002/Cjs.10044  0.432
2008 Müller H, Yao F. Functional Additive Models Journal of the American Statistical Association. 103: 1534-1544. DOI: 10.1198/016214508000000751  0.427
2008 Hall P, Mller H, Yao F. Modelling sparse generalized longitudinal observations with latent Gaussian processes Journal of the Royal Statistical Society: Series B (Statistical Methodology). 70: 703-723. DOI: 10.1111/J.1467-9868.2008.00656.X  0.455
2008 Yao F. Functional approach of flexibly modelling generalized longitudinal data and survival time Journal of Statistical Planning and Inference. 138: 995-1009. DOI: 10.1016/J.Jspi.2007.03.053  0.442
2008 Yao F, Lee TCM. On knot placement for penalized spline regression Journal of the Korean Statistical Society. 37: 259-267. DOI: 10.1016/J.Jkss.2008.01.003  0.304
2007 Yao F, Lee TCM. Spectral Density Estimation Using Sharpened Periodograms Ieee Transactions On Signal Processing. 55: 4711-4716. DOI: 10.1109/Tsp.2007.896297  0.345
2007 Yao F. Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data Journal of Multivariate Analysis. 98: 40-56. DOI: 10.1016/J.Jmva.2006.08.007  0.471
2007 Yao F. Functional principal component analysis for longitudinal and survival data Statistica Sinica. 17: 965-983.  0.345
2006 Müller H, Stadtmüller U, Yao F. Functional Variance Processes Journal of the American Statistical Association. 101: 1007-1018. DOI: 10.1198/016214506000000186  0.416
2006 Yao F, Lee TCM. Penalized spline models for functional principal component analysis Journal of the Royal Statistical Society. Series B: Statistical Methodology. 68: 3-25. DOI: 10.1111/J.1467-9868.2005.00530.X  0.446
2005 Yao F, Müller H, Wang J. Functional linear regression analysis for longitudinal data The Annals of Statistics. 33: 2873-2903. DOI: 10.1214/009053605000000660  0.602
2005 Yao F, Müller H, Wang J. Functional Data Analysis for Sparse Longitudinal Data Journal of the American Statistical Association. 100: 577-590. DOI: 10.1198/016214504000001745  0.591
2004 Müller HG, Wang JL, Carey JR, Caswell-Chen EP, Chen C, Papadopoulos N, Yao F. Demographic window to aging in the wild: constructing life tables and estimating survival functions from marked individuals of unknown age. Aging Cell. 3: 125-31. PMID 15153180 DOI: 10.1111/J.1474-9728.2004.00096.X  0.52
2003 Yao F, Müller HG, Clifford AJ, Dueker SR, Follett J, Lin Y, Buchholz BA, Vogel JS. Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate. Biometrics. 59: 676-85. PMID 14601769 DOI: 10.1111/1541-0420.00078  0.462
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