Year |
Citation |
Score |
2022 |
Huo S, Morris JS, Zhu H. Ultra-Fast Approximate Inference Using Variational Functional Mixed Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 353-365. PMID 37608921 DOI: 10.1080/10618600.2022.2107532 |
0.346 |
|
2018 |
Zhu H, Versace F, Cinciripini PM, Rausch P, Morris JS. Robust and Gaussian spatial functional regression models for analysis of event-related potentials. Neuroimage. 181: 501-512. PMID 30057352 DOI: 10.1016/J.Neuroimage.2018.07.006 |
0.413 |
|
2018 |
Zhu H, Caspers P, Morris JS, Wu X, Müller R. A Unified Analysis of Structured Sonar-terrain Data using Bayesian Functional Mixed Models. Technometrics : a Journal of Statistics For the Physical, Chemical, and Engineering Sciences. 60: 112-123. PMID 29749977 DOI: 10.1080/00401706.2016.1274681 |
0.414 |
|
2017 |
Ming C, Zhu H, Müller R. A simplified model of biosonar echoes from foliage and the properties of natural foliages. Plos One. 12: e0189824. PMID 29240840 DOI: 10.1371/Journal.Pone.0189824 |
0.366 |
|
2017 |
Zhu H, Morris JS, Wei F, Cox DD. Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study. Computational Statistics & Data Analysis. 111: 88-101. PMID 29051679 DOI: 10.1016/J.Csda.2017.02.004 |
0.623 |
|
2017 |
Ming C, Gupta AK, Lu R, Zhu H, Müller R. A computational model for biosonar echoes from foliage. Plos One. 12: e0182824. PMID 28817631 DOI: 10.1371/Journal.Pone.0182824 |
0.367 |
|
2017 |
León Novelo LG, Womack A, Zhu H, Wu X. A Bayesian analysis of quantal bioassay experiments incorporating historical controls via Bayes factors. Statistics in Medicine. PMID 28106916 DOI: 10.1002/Sim.7218 |
0.59 |
|
2016 |
Yang J, Zhu H, Choi T, Cox DD. Smoothing and Mean-Covariance Estimation of Functional Data with a Bayesian Hierarchical Model. Bayesian Analysis. 11: 649-670. PMID 34457106 DOI: 10.1214/15-ba967 |
0.618 |
|
2016 |
Zhang L, Baladandayuthapani V, Zhu H, Baggerly KA, Majewski T, Czerniak BA, Morris JS. Functional CAR models for large spatially correlated functional datasets. Journal of the American Statistical Association. 111: 772-786. PMID 28018013 DOI: 10.1080/01621459.2015.1042581 |
0.413 |
|
2016 |
Yang J, Zhu H, Choi T, Cox DD. Smoothing and mean-Covariance estimation of functional data with a bayesian hierarchical model Bayesian Analysis. 11: 649-670. DOI: 10.1214/15-Ba967 |
0.637 |
|
2016 |
Wang CH, Harken B, Osorio-Murillo CA, Zhu HH, Rubin Y. Bayesian approach for probabilistic site characterization assimilating borehole experiments and Cone Penetration Tests Engineering Geology. 207: 1-13. DOI: 10.1016/J.Enggeo.2016.04.002 |
0.317 |
|
2015 |
Wu X, Zhu H. Fast maximum likelihood estimation of mutation rates using a birth-death process. Journal of Theoretical Biology. 366: 1-7. PMID 25446709 DOI: 10.1016/J.Jtbi.2014.11.009 |
0.339 |
|
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 |
0.453 |
|
2012 |
Zhu H, Brown PJ, Morris JS. Robust classification of functional and quantitative image data using functional mixed models. Biometrics. 68: 1260-8. PMID 22670567 DOI: 10.1111/J.1541-0420.2012.01765.X |
0.45 |
|
2012 |
Wei F, Zhu H. Group coordinate descent algorithms for nonconvex penalized regression Computational Statistics & Data Analysis. 56: 316-326. DOI: 10.1016/J.Csda.2011.08.007 |
0.356 |
|
2011 |
Zhu H, Brown PJ, Morris JS. Robust, Adaptive Functional Regression in Functional Mixed Model Framework. Journal of the American Statistical Association. 106: 1167-1179. PMID 22308015 DOI: 10.1198/Jasa.2011.Tm10370 |
0.493 |
|
2010 |
Zhu H, Vannucci M, Cox DD. A bayesian hierarchical model for classification with selection of functional predictors. Biometrics. 66: 463-73. PMID 19508236 DOI: 10.1111/J.1541-0420.2009.01283.X |
0.621 |
|
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