| Year |
Citation |
Score |
| 2023 |
Carroll C, Müller HG. Latent deformation models for multivariate functional data and time-warping separability. Biometrics. PMID 36877941 DOI: 10.1111/biom.13851 |
0.301 |
|
| 2020 |
Lopes ME, Lin Z, Müller H. Bootstrapping max statistics in high dimensions: Near-parametric rates under weak variance decay and application to functional and multinomial data Annals of Statistics. 48: 1214-1229. DOI: 10.1214/19-Aos1844 |
0.358 |
|
| 2020 |
Dubey P, Müller H. Functional models for time‐varying random objects Journal of the Royal Statistical Society Series B-Statistical Methodology. 82: 275-327. DOI: 10.1111/Rssb.12337 |
0.376 |
|
| 2020 |
Carroll C, Müller H, Kneip A. Cross‐component registration for multivariate functional data, with application to growth curves Biometrics. DOI: 10.1111/Biom.13340 |
0.323 |
|
| 2020 |
Chen Y, Dawson M, Müller H. Rank dynamics for functional data Computational Statistics & Data Analysis. 149: 106963. DOI: 10.1016/J.Csda.2020.106963 |
0.403 |
|
| 2019 |
Petersen A, Deoni S, Müller H. Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain The Annals of Applied Statistics. 13: 393-419. DOI: 10.1214/18-Aoas1195 |
0.315 |
|
| 2019 |
Dubey P, Müller H. Fréchet analysis of variance for random objects Biometrika. 106: 803-821. DOI: 10.1093/Biomet/Asz052 |
0.365 |
|
| 2019 |
Han K, Müller H, Park BU. Additive Functional Regression for Densities as Responses Journal of the American Statistical Association. 115: 997-1010. DOI: 10.1080/01621459.2019.1604365 |
0.333 |
|
| 2018 |
Petersen A, Chen CJ, Müller HG. Quantifying and Visualizing Intraregional Connectivity in Resting-State Functional Magnetic Resonance Imaging with Correlation Densities. Brain Connectivity. PMID 30265561 DOI: 10.1089/Brain.2018.0591 |
0.333 |
|
| 2018 |
Park BU, Chen C, Tao W, Müller H. Singular Additive Models for Function to Function Regression Statistica Sinica. DOI: 10.5705/Ss.202016.0556 |
0.325 |
|
| 2018 |
Dai X, Müller H, Tao W. Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data Statistica Sinica. DOI: 10.5705/Ss.202016.0427 |
0.34 |
|
| 2018 |
Han K, Müller H, Park BU. Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions Bernoulli. 24: 1233-1265. DOI: 10.3150/16-Bej898 |
0.324 |
|
| 2018 |
Dai X, Müller H. Principal component analysis for functional data on Riemannian manifolds and spheres Annals of Statistics. 46: 3334-3361. DOI: 10.1214/17-Aos1660 |
0.358 |
|
| 2018 |
Dawson M, Müller H. Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data Journal of the American Statistical Association. 113: 1612-1624. DOI: 10.1080/01621459.2017.1356321 |
0.354 |
|
| 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 |
0.369 |
|
| 2016 |
Chiou JM, Müller HG. A pairwise interaction model for multivariate functional and longitudinal data. Biometrika. 103: 377-396. PMID 27279664 DOI: 10.1093/Biomet/Asw007 |
0.383 |
|
| 2016 |
Petersen A, Zhao J, Carmichael O, Műller HG. Quantifying Individual Brain Connectivity with Functional Principal Component Analysis for Networks. Brain Connectivity. PMID 27267074 DOI: 10.1089/Brain.2016.0420 |
0.314 |
|
| 2016 |
Muller HG. Peter Hall, functional data analysis and random objects Annals of Statistics. 44: 1867-1887. DOI: 10.1214/16-Aos1492 |
0.314 |
|
| 2016 |
Petersen A, Müller H. Functional data analysis for density functions by transformation to a Hilbert space Annals of Statistics. 44: 183-218. DOI: 10.1214/15-Aos1363 |
0.35 |
|
| 2016 |
Chen K, Delicado P, Müller HG. Modelling function-valued stochastic processes, with applications to fertility dynamics Journal of the Royal Statistical Society. Series B: Statistical Methodology. DOI: 10.1111/Rssb.12160 |
0.58 |
|
| 2016 |
Petersen A, Müller H. Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data Biometrika. 103: 103-120. DOI: 10.1093/Biomet/Asv054 |
0.353 |
|
| 2015 |
Hadjipantelis PZ, Aston JA, Müller HG, Evans JP. Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese. Journal of the American Statistical Association. 110: 545-559. PMID 26692591 DOI: 10.1080/01621459.2015.1006729 |
0.333 |
|
| 2015 |
Harwood JF, Chen K, Liedo P, Müller HG, Wang JL, Morice AE, Carey JR. Female access and diet affect insemination success, senescence, and the cost of reproduction in male Mexican fruit flies Anastrepha ludens. Physiological Entomology. 40: 65-71. PMID 25709143 DOI: 10.1111/Phen.12089 |
0.473 |
|
| 2015 |
Chen K, Zhang X, Petersen A, Müller HG. Quantifying Infinite-Dimensional Data: Functional Data Analysis in Action Statistics in Biosciences. 1-23. DOI: 10.1007/S12561-015-9137-5 |
0.558 |
|
| 2014 |
Nelson EC, Gottlieb AH, Müller HG, Smith W, Ali MR, Vidovszky TJ. Robotic cholecystectomy and resident education: the UC Davis experience. The International Journal of Medical Robotics + Computer Assisted Surgery : Mrcas. 10: 218-22. PMID 24307477 DOI: 10.1002/Rcs.1554 |
0.726 |
|
| 2014 |
Hadjipantelis PZ, Aston JAD, Müller H, Moriarty J. Analysis of spike train data: A multivariate mixed effects model for phase and amplitude Electronic Journal of Statistics. 8: 1797-1807. DOI: 10.1214/14-Ejs865E |
0.307 |
|
| 2014 |
Peng J, Paul D, Müller H. Time-warped growth processes, with applications to the modeling of boom–bust cycles in house prices The Annals of Applied Statistics. 8: 1561-1582. DOI: 10.1214/14-Aoas740 |
0.333 |
|
| 2014 |
Chen K, Müller H. Modeling Conditional Distributions for Functional Responses, With Application to Traffic Monitoring via GPS-Enabled Mobile Phones Technometrics. 56: 347-358. DOI: 10.1080/00401706.2013.842933 |
0.562 |
|
| 2013 |
Harwood JF, Chen K, Müller HG, Wang JL, Vargas RI, Carey JR. Effects of diet and host access on fecundity and lifespan in two fruit fly species with different life history patterns. Physiological Entomology. 38: 81-88. PMID 23483775 DOI: 10.1111/Phen.12006 |
0.478 |
|
| 2013 |
Gottlieb A, Müller HG, Massa AN, Wanjugi H, Deal KR, You FM, Xu X, Gu YQ, Luo MC, Anderson OD, Chan AP, Rabinowicz P, Devos KM, Dvorak J. Insular organization of gene space in grass genomes. Plos One. 8: e54101. PMID 23326580 DOI: 10.1371/Journal.Pone.0054101 |
0.749 |
|
| 2013 |
Chiou J, Müller H. Linear manifold modelling of multivariate functional data Journal of the Royal Statistical Society: Series B (Statistical Methodology). 76: 605-626. DOI: 10.1111/Rssb.12038 |
0.398 |
|
| 2013 |
Muller H, Wu Y, Yao F. Continuously additive models for nonlinear functional regression Biometrika. 100: 607-622. DOI: 10.1093/Biomet/Ast004 |
0.363 |
|
| 2012 |
Clifford AJ, Chen K, McWade L, Rincon G, Kim SH, Holstege DM, Owens JE, Liu B, Müller HG, Medrano JF, Fadel JG, Moshfegh AJ, Baer DJ, Novotny JA. Gender and single nucleotide polymorphisms in MTHFR, BHMT, SPTLC1, CRBP2, CETP, and SCARB1 are significant predictors of plasma homocysteine normalized by RBC folate in healthy adults. The Journal of Nutrition. 142: 1764-71. PMID 22833659 DOI: 10.3945/Jn.112.160333 |
0.606 |
|
| 2012 |
Chen D, Müller H. Nonlinear manifold representations for functional data Annals of Statistics. 40: 1-29. DOI: 10.1214/11-Aos936 |
0.354 |
|
| 2012 |
Chen K, Müller H. Conditional quantile analysis when covariates are functions, with application to growth data Journal of the Royal Statistical Society Series B-Statistical Methodology. 74: 67-89. DOI: 10.1111/J.1467-9868.2011.01008.X |
0.561 |
|
| 2012 |
Verzelen N, Tao W, Muller H. Inferring stochastic dynamics from functional data Biometrika. 99: 533-550. DOI: 10.1093/Biomet/Ass015 |
0.316 |
|
| 2012 |
Chen K, Müller H. Modeling Repeated Functional Observations Journal of the American Statistical Association. 107: 1599-1609. DOI: 10.1080/01621459.2012.734196 |
0.597 |
|
| 2012 |
Gottlieb A, Müller H. A stickiness coefficient for longitudinal data Computational Statistics & Data Analysis. 56: 4000-4010. DOI: 10.1016/J.Csda.2012.03.009 |
0.78 |
|
| 2011 |
Kouloussis NA, Papadopoulos NT, Katsoyannos BI, Müller HG, Wang JL, Su YR, Molleman F, Carey JR. Seasonal trends in Ceratitis capitata reproductive potential derived from live-caught females in Greece. Entomologia Experimentalis Et Applicata. 140: 181-188. PMID 22791908 DOI: 10.1111/J.1570-7458.2011.01154.X |
0.317 |
|
| 2011 |
Wu S, Müller HG. Response-adaptive regression for longitudinal data. Biometrics. 67: 852-60. PMID 21133880 DOI: 10.1111/J.1541-0420.2010.01518.X |
0.377 |
|
| 2011 |
Chen D, Hall P, Müller H. Single and multiple index functional regression models with nonparametric link Annals of Statistics. 39: 1720-1747. DOI: 10.1214/11-Aos882 |
0.409 |
|
| 2011 |
Chen K, Chen K, Müller H, Wang J. Stringing High-Dimensional Data for Functional Analysis Journal of the American Statistical Association. 106: 275-284. DOI: 10.1198/Jasa.2011.Tm10314 |
0.555 |
|
| 2011 |
Yang W, Müller H, Stadtmüller U. Functional singular component analysis Journal of the Royal Statistical Society: Series B (Statistical Methodology). 73: 303-324. DOI: 10.1111/J.1467-9868.2010.00769.X |
0.378 |
|
| 2011 |
Müller H, Sen R, Stadtmüller U. Functional data analysis for volatility Journal of Econometrics. 165: 233-245. DOI: 10.1016/J.Jeconom.2011.08.002 |
0.339 |
|
| 2011 |
Zhang Z, Müller H. Functional density synchronization Computational Statistics & Data Analysis. 55: 2234-2249. DOI: 10.1016/J.Csda.2011.01.007 |
0.383 |
|
| 2010 |
Wu PS, Müller HG. Functional embedding for the classification of gene expression profiles. Bioinformatics (Oxford, England). 26: 509-17. PMID 20053838 DOI: 10.1093/Bioinformatics/Btp711 |
0.588 |
|
| 2010 |
Wu Y, Fan J, Müller H. Varying-coefficient functional linear regression Bernoulli. 16: 730-758. DOI: 10.3150/09-Bej231 |
0.376 |
|
| 2010 |
He G, Müller H, Wang J, Yang W. Functional linear regression via canonical analysis Bernoulli. 16: 705-729. DOI: 10.3150/09-Bej228 |
0.407 |
|
| 2010 |
Müller H, Yao F. Empirical dynamics for longitudinal data Annals of Statistics. 38: 3458-3486. DOI: 10.1214/09-Aos786 |
0.34 |
|
| 2010 |
Şentürk D, Müller H. Functional Varying Coefficient Models for Longitudinal Data Journal of the American Statistical Association. 105: 1256-1264. DOI: 10.1198/Jasa.2010.Tm09228 |
0.393 |
|
| 2010 |
Muller H, Yao F. Additive modelling of functional gradients Biometrika. 97: 791-805. DOI: 10.1093/Biomet/Asq056 |
0.402 |
|
| 2010 |
Yao F, Muller H. Functional quadratic regression Biometrika. 97: 49-64. DOI: 10.1093/Biomet/Asp069 |
0.366 |
|
| 2009 |
Tang R, Müller HG. Time-synchronized clustering of gene expression trajectories. Biostatistics (Oxford, England). 10: 32-45. PMID 18502728 DOI: 10.1093/Biostatistics/Kxn011 |
0.424 |
|
| 2009 |
Hall P, Müller H, Yao F. Estimation Of Functional Derivatives Annals of Statistics. 37: 3307-3329. DOI: 10.1214/09-Aos686 |
0.427 |
|
| 2009 |
Liu B, Müller H. Estimating Derivatives for Samples of Sparsely Observed Functions, With Application to Online Auction Dynamics Journal of the American Statistical Association. 104: 704-717. DOI: 10.1198/Jasa.2009.0115 |
0.61 |
|
| 2009 |
Chiou J, Müller H. Modeling Hazard Rates as Functional Data for the Analysis of Cohort Lifetables and Mortality Forecasting Journal of the American Statistical Association. 104: 572-585. DOI: 10.1198/Jasa.2009.0023 |
0.338 |
|
| 2009 |
Senturk D, Muller H. Covariate-adjusted generalized linear models Biometrika. 96: 357-370. DOI: 10.1093/Biomet/Asp012 |
0.408 |
|
| 2009 |
Müller H, Yang W. Dynamic relations for sparsely sampled Gaussian processes Test. 19: 1-29. DOI: 10.1007/S11749-009-0176-4 |
0.326 |
|
| 2008 |
Müller H, Yao F. Functional Additive Models Journal of the American Statistical Association. 103: 1534-1544. DOI: 10.1198/016214508000000751 |
0.372 |
|
| 2008 |
Tang R, Muller H. Pairwise curve synchronization for functional data Biometrika. 95: 875-889. DOI: 10.1093/Biomet/Asn047 |
0.416 |
|
| 2008 |
Senturk D, Muller H. Generalized varying coefficient models for longitudinal data Biometrika. 95: 653-666. DOI: 10.1093/Biomet/Asn006 |
0.395 |
|
| 2008 |
Hall P, Leng X, Müller HG. Weighted-bootstrap alignment of explanatory variables Journal of Statistical Planning and Inference. 138: 1817-1827. DOI: 10.1016/J.Jspi.2007.06.032 |
0.36 |
|
| 2007 |
Rogina B, Wolverton T, Bross TG, Chen K, Müller HG, Carey JR. Distinct biological epochs in the reproductive life of female Drosophila melanogaster. Mechanisms of Ageing and Development. 128: 477-85. PMID 17681363 DOI: 10.1016/J.Mad.2007.06.004 |
0.478 |
|
| 2007 |
Delaigle A, Hall P, Müller H. Accelerated convergence for nonparametric regression with coarsened predictors Annals of Statistics. 35: 2639-2653. DOI: 10.1214/009053607000000497 |
0.349 |
|
| 2007 |
Clifford AJ, Owens JE, Liu B, Müller H, Medrano JF, Fadel JG, Moghaddam B. Effects of eight folate‐relevant polymorphisms on human blood folate and homocysteine The Faseb Journal. 21. DOI: 10.1096/Fasebj.21.5.A121-A |
0.465 |
|
| 2007 |
Chiou J, Müller H. Diagnostics for functional regression via residual processes Computational Statistics & Data Analysis. 51: 4849-4863. DOI: 10.1016/J.Csda.2006.07.042 |
0.39 |
|
| 2007 |
Müller H, Wang J. Bootstrap Confidence Intervals for Effective Doses in the Probit Model for Dose-Response Data Biometrical Journal. 32: 529-544. DOI: 10.1002/Bimj.4710320504 |
0.319 |
|
| 2006 |
Leng X, Müller HG. Classification using functional data analysis for temporal gene expression data. Bioinformatics (Oxford, England). 22: 68-76. PMID 16257986 DOI: 10.1093/Bioinformatics/Bti742 |
0.315 |
|
| 2006 |
Hall P, Müller H, Wang J. Properties of principal component methods for functional and longitudinal data analysis The Annals of Statistics. 34: 1493-1517. DOI: 10.1214/009053606000000272 |
0.408 |
|
| 2006 |
Şentürk D, Müller H. Inference for covariate adjusted regression via varying coefficient models The Annals of Statistics. 34: 654-679. DOI: 10.1214/009053606000000083 |
0.424 |
|
| 2006 |
Hall P, Müller H, Wu P. Real-Time Density and Mode Estimation With Application to Time-Dynamic Mode Tracking Journal of Computational and Graphical Statistics. 15: 82-100. DOI: 10.1198/106186006X94333 |
0.576 |
|
| 2006 |
Müller H, Stadtmüller U, Yao F. Functional Variance Processes Journal of the American Statistical Association. 101: 1007-1018. DOI: 10.1198/016214506000000186 |
0.384 |
|
| 2006 |
Müller HG, Wai N. Asymptotic fluctuations of mutagrams Statistics and Probability Letters. 76: 1201-1210. DOI: 10.1016/J.Spl.2005.12.028 |
0.719 |
|
| 2005 |
Müller HG, Zhang Y. Time-varying functional regression for predicting remaining lifetime distributions from longitudinal trajectories. Biometrics. 61: 1064-75. PMID 16401280 DOI: 10.1111/J.1541-0420.2005.00378.X |
0.37 |
|
| 2005 |
Harshman LG, Müller HG, Liu X, Wang Y, Carey JR. The symmetry of longevity. The Journals of Gerontology. Series a, Biological Sciences and Medical Sciences. 60: 1233-7. PMID 16282553 DOI: 10.1093/Gerona/60.10.1233 |
0.417 |
|
| 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 |
0.426 |
|
| 2005 |
Müller H, Stadtmüller U. Generalized functional linear models Annals of Statistics. 33: 774-805. DOI: 10.1214/009053604000001156 |
0.417 |
|
| 2005 |
Dubin JA, Müller HG. Dynamical correlation for multivariate longitudinal data Journal of the American Statistical Association. 100: 872-881. DOI: 10.1198/016214504000001989 |
0.649 |
|
| 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 |
0.409 |
|
| 2005 |
Chiou J, Muller H. Estimated estimating equations: semiparametric inference for clustered and longitudinal data Journal of the Royal Statistical Society: Series B (Statistical Methodology). 67: 531-553. DOI: 10.1111/J.1467-9868.2005.00514.X |
0.388 |
|
| 2005 |
Şentürk D, Müller H. Covariate Adjusted Correlation Analysis via Varying Coefficient Models Scandinavian Journal of Statistics. 32: 365-383. DOI: 10.1111/J.1467-9469.2005.00450.X |
0.384 |
|
| 2005 |
MULLER H. Functional Modelling and Classification of Longitudinal Data* Scandinavian Journal of Statistics. 32: 223-240. DOI: 10.1111/J.1467-9469.2005.00429.X |
0.422 |
|
| 2005 |
Şentürk D, Müller H. Covariate-adjusted regression Biometrika. 92: 75-89. DOI: 10.1093/Biomet/92.1.75 |
0.392 |
|
| 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 |
0.35 |
|
| 2004 |
Kaysen GA, Dubin JA, Müller HG, Rosales L, Levin NW, Mitch WE. Inflammation and reduced albumin synthesis associated with stable decline in serum albumin in hemodialysis patients. Kidney International. 65: 1408-15. PMID 15086482 DOI: 10.1111/J.1523-1755.2004.00520.X |
0.558 |
|
| 2004 |
Müller HG, Wai N. Change trees and mutagrams for the visualization of local changes in sequence data Journal of Computational and Graphical Statistics. 13: 571-585. DOI: 10.1198/106186004X2660 |
0.674 |
|
| 2004 |
Liu X, Müller H. Functional Convex Averaging and Synchronization for Time-Warped Random Curves Journal of the American Statistical Association. 99: 687-699. DOI: 10.1198/016214504000000999 |
0.535 |
|
| 2004 |
Chiou J, Muller H. Quasi-Likelihood Regression with Multiple Indices and Smooth Link and Variance Functions Scandinavian Journal of Statistics. 31: 367-386. DOI: 10.1111/J.1467-9469.2004.02-117.X |
0.432 |
|
| 2004 |
He G, Müller H, Wang J. Methods of canonical analysis for functional data Journal of Statistical Planning and Inference. 122: 141-159. DOI: 10.1016/J.Jspi.2003.06.003 |
0.393 |
|
| 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 |
0.428 |
|
| 2003 |
Liu X, Müller HG. Modes and clustering for time-warped gene expression profile data. Bioinformatics (Oxford, England). 19: 1937-44. PMID 14555627 DOI: 10.1093/Bioinformatics/Btg257 |
0.512 |
|
| 2003 |
Muller HG, Abramson I, Azari R. Nonparametric regression to the mean. Proceedings of the National Academy of Sciences of the United States of America. 100: 9715-20. PMID 12902544 DOI: 10.1073/Pnas.1733547100 |
0.324 |
|
| 2003 |
Kaysen GA, Dubin JA, Müller HG, Mitch WE, Rosales L, Levin NW. Impact of albumin synthesis rate and the acute phase response in the dual regulation of fibrinogen levels in hemodialysis patients. Kidney International. 63: 315-22. PMID 12472798 DOI: 10.1046/J.1523-1755.2003.00721.X |
0.563 |
|
| 2003 |
Hall P, Müller H. Order-Preserving Nonparametric Regression, With Applications to Conditional Distribution and Quantile Function Estimation Journal of the American Statistical Association. 98: 598-608. DOI: 10.1198/016214503000000512 |
0.35 |
|
| 2003 |
Chiou J, Muller H, Wang J. Functional quasi-likelihood regression models with smooth random effects Journal of the Royal Statistical Society: Series B (Statistical Methodology). 65: 405-423. DOI: 10.1111/1467-9868.00393 |
0.431 |
|
| 2003 |
Facer MR, Müller HG. Nonparametric estimation of the location of a maximum in a response surface Journal of Multivariate Analysis. 87: 191-217. DOI: 10.1016/S0047-259X(03)00030-7 |
0.758 |
|
| 2003 |
He G, Müller H, Wang J. Functional canonical analysis for square integrable stochastic processes Journal of Multivariate Analysis. 85: 54-77. DOI: 10.1016/S0047-259X(02)00056-8 |
0.356 |
|
| 2002 |
Papadopoulos NT, Carey JR, Katsoyannos BI, Kouloussis NA, Müller HG, Liu X. Supine behaviour predicts the time to death in male Mediterranean fruitflies (Ceratitis capitata). Proceedings. Biological Sciences / the Royal Society. 269: 1633-7. PMID 12204122 DOI: 10.1098/Rspb.2002.2078 |
0.476 |
|
| 2002 |
Kaysen GA, Dubin JA, Müller HG, Mitch WE, Rosales LM, Levin NW. Relationships among inflammation nutrition and physiologic mechanisms establishing albumin levels in hemodialysis patients. Kidney International. 61: 2240-9. PMID 12028466 DOI: 10.1046/J.1523-1755.2002.00076.X |
0.573 |
|
| 2002 |
Müller HG, Love B, Hoppa RD. Semiparametric method for estimating paleodemographic profiles from age indicator data. American Journal of Physical Anthropology. 117: 1-14. PMID 11748559 DOI: 10.1002/Ajpa.10000 |
0.373 |
|
| 2001 |
Dubin JA, Müller HG, Wang JL. Event history graphs for censored survival data. Statistics in Medicine. 20: 2951-64. PMID 11568951 DOI: 10.1002/Sim.888 |
0.637 |
|
| 2001 |
Müller H, Yan X. On Local Moments Journal of Multivariate Analysis. 76: 90-109. DOI: 10.1006/Jmva.2000.1921 |
0.331 |
|
| 1998 |
Müller HG, Wang JL. Statistical tools for the analysis of nutrition effects on the survival of cohorts Advances in Experimental Medicine and Biology. 445: 191-203. PMID 9781390 DOI: 10.1007/978-1-4899-1959-5_12 |
0.346 |
|
| 1998 |
Facer MR, Müller HG, Clifford AJ. Statistical models for quantitative bioassay. Advances in Experimental Medicine and Biology. 445: 147-71. PMID 9781388 DOI: 10.1007/978-1-4899-1959-5_10 |
0.765 |
|
| 1998 |
Wang J, Müller H, Capra WB. Analysis of oldest-old mortality: lifetables revisited The Annals of Statistics. 26: 126-163. DOI: 10.1214/Aos/1030563980 |
0.315 |
|
| 1998 |
Chiou J, Müller H. Quasi-Likelihood Regression with Unknown Link and Variance Functions Journal of the American Statistical Association. 93: 1376-1387. DOI: 10.1080/01621459.1998.10473799 |
0.397 |
|
| 1997 |
Brockhoff PM, Muller H. Random Effect Threshold Models for Dose-Response Relationships with Repeated Measurements Journal of the Royal Statistical Society: Series B (Statistical Methodology). 59: 431-446. DOI: 10.1111/1467-9868.00077 |
0.306 |
|
| 1997 |
Muller H. From lifetables to hazard rates: the transformation approach Biometrika. 84: 881-892. DOI: 10.1093/Biomet/84.4.881 |
0.353 |
|
| 1997 |
Capra WB, Müller H. An Accelerated-Time Model for Response Curves Journal of the American Statistical Association. 92: 72-83. DOI: 10.1080/01621459.1997.10473604 |
0.41 |
|
| 1997 |
Müller H, Stadtmüller U, Tabnak F. Spatial Smoothing of Geographically Aggregated Data, with Application to the Construction of Incidence Maps Journal of the American Statistical Association. 92: 61-71. DOI: 10.1080/01621459.1997.10473603 |
0.352 |
|
| 1997 |
Müller H, Song K. Two-stage change-point estimators in smooth regression models Statistics & Probability Letters. 34: 323-335. DOI: 10.1016/S0167-7152(96)00197-6 |
0.362 |
|
| 1996 |
Müller HG, Facer MR, Bills ND, Clifford AJ. Statistical interaction model for exchangeability of food folates in rat growth bioassay. The Journal of Nutrition. 126: 2585-92. PMID 8857521 DOI: 10.1093/Jn/126.10.2585 |
0.723 |
|
| 1996 |
Müller H, Song K. A set-indexed process in a two-region image Stochastic Processes and Their Applications. 62: 87-101. DOI: 10.1016/0304-4149(95)00094-1 |
0.344 |
|
| 1995 |
Muller H, Zhao P. On a Semiparametric Variance Function Model and a Test for Heteroscedasticity The Annals of Statistics. 23: 946-967. DOI: 10.1214/Aos/1176324630 |
0.412 |
|
| 1994 |
Muller H, Wang J. Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics. 50: 61-76. DOI: 10.2307/2533197 |
0.359 |
|
| 1994 |
Abramson I, Müller Hg. Estimating direction fields in autonomous equation models, with an application to system identification from cross-sectional data Biometrika. 81: 663-672. DOI: 10.1093/Biomet/81.4.663 |
0.33 |
|
| 1993 |
Clifford AJ, Bills ND, Peerson JM, Müller HG, Burk GE, Rich KD. A depletion-repletion folate bioassay based on growth and tissue folate concentrations of rats. The Journal of Nutrition. 123: 926-32. PMID 7683714 DOI: 10.1093/Jn/123.5.926 |
0.316 |
|
| 1993 |
Müller H, Stadtmüller U. On variance function estimation with quadratic forms Journal of Statistical Planning and Inference. 35: 213-231. DOI: 10.1016/0378-3758(93)90046-9 |
0.372 |
|
| 1993 |
Müller H. Surface and function approximation with nonparametric regression Rendiconti Del Seminario Matematico E Fisico Di Milano. 63: 171-211. DOI: 10.1007/Bf02925100 |
0.358 |
|
| 1993 |
Muller H, Prewitt K. Multiparameter Bandwidth Processes and Adaptive Surface Smoothing Journal of Multivariate Analysis. 47: 1-21. DOI: 10.1006/Jmva.1993.1067 |
0.369 |
|
| 1993 |
Müller H, Song K. Identity reproducing multivariate nonparametric regression Journal of Multivariate Analysis. 46: 237-253. DOI: 10.1006/Jmva.1993.1059 |
0.379 |
|
| 1992 |
Muller H, Prewitt K. Weak Convergence and Adaptive Peak Estimation for Spectral Densities The Annals of Statistics. 20: 1329-1349. DOI: 10.1214/Aos/1176348771 |
0.353 |
|
| 1992 |
Muller H. Change-Points in Nonparametric Regression Analysis The Annals of Statistics. 20: 737-761. DOI: 10.1214/Aos/1176348654 |
0.391 |
|
| 1992 |
Azari AS, Müller H. Preaveraged Localized Orthogonal Polynomial Estimators for Surface Smoothing and Partial Differentiation Journal of the American Statistical Association. 87: 1005-1017. DOI: 10.1080/01621459.1992.10476256 |
0.36 |
|
| 1991 |
Granovsky BL, Müller H, Muller H. Optimizing Kernel Methods: A Unifying Variational Principle International Statistical Review / Revue Internationale De Statistique. 59: 373. DOI: 10.2307/1403693 |
0.301 |
|
| 1991 |
MÜLLER H. Smooth optimum kernel estimators near endpoints Biometrika. 78: 521-530. DOI: 10.1093/Biomet/78.3.521 |
0.349 |
|
| 1990 |
Muller H, Schmitt T. Choice of number of doses for maximum likelihood estimation of the ED50 for quantal dose-response data. Biometrics. 46: 117. DOI: 10.2307/2531635 |
0.304 |
|
| 1990 |
Müller Hg, Wang JL. Nonparametric analysis of changes in hazard rates for censored survival data: An alternative to change-point models Biometrika. 77: 305-314. DOI: 10.1093/Biomet/77.2.305 |
0.402 |
|
| 1990 |
Müller HG, Wang JL. Locally adaptive hazard smoothing Probability Theory and Related Fields. 85: 523-538. DOI: 10.1007/Bf01203169 |
0.382 |
|
| 1989 |
Muller H. Adaptive Nonparametric Peak Estimation The Annals of Statistics. 17: 1053-1069. DOI: 10.1214/Aos/1176347255 |
0.305 |
|
| 1988 |
Muller H, Stadtmuller U. Detecting dependencies in smooth regression models Biometrika. 75: 639-650. DOI: 10.1093/Biomet/75.4.639 |
0.396 |
|
| 1988 |
Müller H, Schmitt T. Kernel and Probit Estimates in Quantal Bioassay Journal of the American Statistical Association. 83: 750-759. DOI: 10.1080/01621459.1988.10478658 |
0.357 |
|
| 1988 |
Mack Y, Müller H. Convolution type estimators for nonparametric regression Statistics & Probability Letters. 7: 229-239. DOI: 10.1016/0167-7152(88)90056-9 |
0.346 |
|
| 1987 |
Ihm P, Muller H, Schmitt T. PRODOS: Probit Analysis of Several Qualitative Dose-Response Curves The American Statistician. 41: 79. DOI: 10.2307/2684332 |
0.314 |
|
| 1987 |
Muller H, Stadtmuller U. Estimation of Heteroscedasticity in Regression Analysis The Annals of Statistics. 15: 610-625. DOI: 10.1214/Aos/1176350364 |
0.307 |
|
| 1987 |
MÜLLER H, STADTMÜLLER U, SCHMITT T. Bandwidth choice and confidence intervals for derivatives of noisy data Biometrika. 74: 743-749. DOI: 10.1093/Biomet/74.4.743 |
0.398 |
|
| 1987 |
Müller H. Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting Journal of the American Statistical Association. 82: 231-238. DOI: 10.1080/01621459.1987.10478425 |
0.311 |
|
| 1987 |
Mack Y, Mu¨ller H. Adaptive nonparametric estimation of a multivariate regression function Journal of Multivariate Analysis. 23: 169-183. DOI: 10.1016/0047-259X(87)90151-5 |
0.387 |
|
| 1987 |
Müller H. On the asymptotic Mean Square Error of L1 kernel estimates of smooth functions Journal of Approximation Theory. 51: 193-201. DOI: 10.1016/0021-9045(87)90034-7 |
0.321 |
|
| 1984 |
Muller H. Smooth Optimum Kernel Estimators of Densities, Regression Curves and Modes The Annals of Statistics. 12: 766-774. DOI: 10.1214/Aos/1176346523 |
0.305 |
|
| 1984 |
Gasser T, Muller H, Kohler W, Molinari L, Prader A. Nonparametric Regression Analysis of Growth Curves The Annals of Statistics. 12: 210-229. DOI: 10.1214/Aos/1176346402 |
0.388 |
|
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