Year |
Citation |
Score |
2020 |
Lin Z, Yao F. Functional regression on the manifold with contamination Biometrika. DOI: 10.1093/Biomet/Asaa041 |
0.376 |
|
2019 |
Lin Z, Yao F. Intrinsic Riemannian functional data analysis Annals of Statistics. 47: 3533-3577. DOI: 10.1214/18-Aos1787 |
0.423 |
|
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 |
0.325 |
|
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 |
0.434 |
|
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 |
0.405 |
|
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 |
0.465 |
|
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 |
0.495 |
|
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 |
0.417 |
|
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 |
0.4 |
|
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 |
0.346 |
|
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 |
0.461 |
|
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 |
0.366 |
|
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 |
0.414 |
|
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 |
0.387 |
|
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 |
0.406 |
|
2013 |
Muller H, Wu Y, Yao F. Continuously additive models for nonlinear functional regression Biometrika. 100: 607-622. DOI: 10.1093/Biomet/Ast004 |
0.381 |
|
2011 |
Yao F, Fu Y, Lee TC. Functional mixture regression. Biostatistics (Oxford, England). 12: 341-53. PMID 21030384 DOI: 10.1093/Biostatistics/Kxq067 |
0.464 |
|
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 |
0.45 |
|
2010 |
Müller H, Yao F. Empirical dynamics for longitudinal data Annals of Statistics. 38: 3458-3486. DOI: 10.1214/09-Aos786 |
0.351 |
|
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 |
0.371 |
|
2010 |
Muller H, Yao F. Additive modelling of functional gradients Biometrika. 97: 791-805. DOI: 10.1093/Biomet/Asq056 |
0.455 |
|
2010 |
Yao F, Muller H. Functional quadratic regression Biometrika. 97: 49-64. DOI: 10.1093/Biomet/Asp069 |
0.422 |
|
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 |
0.453 |
|
2009 |
Hall P, Müller H, Yao F. Estimation Of Functional Derivatives Annals of Statistics. 37: 3307-3329. DOI: 10.1214/09-Aos686 |
0.472 |
|
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 |
0.323 |
|
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 |
0.436 |
|
2008 |
Müller H, Yao F. Functional Additive Models Journal of the American Statistical Association. 103: 1534-1544. DOI: 10.1198/016214508000000751 |
0.431 |
|
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 |
0.46 |
|
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 |
0.446 |
|
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 |
0.306 |
|
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 |
0.348 |
|
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 |
0.476 |
|
2007 |
Yao F. Functional principal component analysis for longitudinal and survival data Statistica Sinica. 17: 965-983. |
0.35 |
|
2006 |
Müller H, Stadtmüller U, Yao F. Functional Variance Processes Journal of the American Statistical Association. 101: 1007-1018. DOI: 10.1198/016214506000000186 |
0.421 |
|
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 |
0.45 |
|
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 |
0.604 |
|
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 |
0.593 |
|
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 |
0.521 |
|
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 |
0.467 |
|
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