Fabian Scheipl 个人学术档案

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引用	7758	4308
h 指数	39	32
i10 指数	62	55

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Helmut KüchenhoffInstitut für Statistik, LMU München在 stat.uni-muenchen.de 的电子邮件经过验证
Sonja GrevenChair of Statistics, Humboldt-Universität zu Berlin在 hu-berlin.de 的电子邮件经过验证
Torsten Hothorn在 R-project.org 的电子邮件经过验证
Friedrich LeischInstitute of Statistics, University of Natural Resources and Life Sciences, Vienna, Austria在 boku.ac.at 的电子邮件经过验证
Martin MächlerAdjunct Professor, ETH Zurich在 stat.math.ethz.ch 的电子邮件经过验证
Simon WoodStatistics, School of Mathematics, University of Edinburgh, UK在 bath.edu 的电子邮件经过验证
Steven C WalkerMcMaster University在 mcmaster.ca 的电子邮件经过验证
Ana-Maria StaicuAssistant Professor, Statistics, North Carolina State University在 ncsu.edu 的电子邮件经过验证
Jeff GoldsmithAssociate Professor, Department of Biostatistics, Columbia University在 columbia.edu 的电子邮件经过验证
Thomas KneibChair of Statistics, Georg-August-University Göttingen在 uni-goettingen.de 的电子邮件经过验证
Andreas BenderLudwig-Maximilians-Universität München在 stat.uni-muenchen.de 的电子邮件经过验证
Antonio GasparriniLondon School of Hygiene and Tropical Medicine在 lshtm.ac.uk 的电子邮件经过验证
Benjamin HofnerHead of Data Science and Methods, Paul-Ehrlich-Institute在 pei.de 的电子邮件经过验证
Ciprian CrainiceanuProfessor of Biostatistics, Johns Hopkins University在 jhsph.edu 的电子邮件经过验证
Philip ReissProfessor of Statistics, University of Haifa在 stat.haifa.ac.il 的电子邮件经过验证
Andrew G DayKingston Health Sciences Centre, Ontario Canada在 kingstonhsc.ca 的电子邮件经过验证
Jonathan GellarMathematica Policy Research在 mathematica-mpr.com 的电子邮件经过验证
Alice-Agnes GabrielAssociate Professor, Scripps Institution of Oceanography, UCSD; Guest Professor, LMU Munich在 ucsd.edu 的电子邮件经过验证
Jan GertheissHelmut Schmidt University在 hsu-hh.de 的电子邮件经过验证
Jaroslaw HarezlakProfessor at Indiana University School of Public Health-Bloomington在 iu.edu 的电子邮件经过验证

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Fabian Scheipl

LMU Munich / Munich Center for Machine Learning

在 stat.uni-muenchen.de 的电子邮件经过验证 - 首页

Statistics Bayesian Statistics Functional Data Analysis Additive Models Survival Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
mvtnorm: Multivariate Normal and t Distributions A Genz, F Bretz, T Miwa, X Mi, F Leisch, F Scheipl, T Hothorn R package version 0.9-2, URL http://CRAN. R-project. org/package= mvtnorm, 2008	831	2008
gamm4: Generalized additive mixed models using mgcv and lme4. S Wood R Packag. version 0.2-3, 2014	734	2014
Predictors of severe systemic anaphylactic reactions in patients with Hymenoptera venom allergy: importance of baseline serum tryptase—a study of the European Academy of … F Ruëff, B Przybilla, MB Biló, U Müller, F Scheipl, W Aberer, J Birnbaum, ... Journal of Allergy and Clinical Immunology 124 (5), 1047-1054, 2009	508	2009
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models F Scheipl, S Greven, H Küchenhoff Computational statistics & data analysis 52 (7), 3283-3299, 2008	364	2008
Package ‘lme4’: linear mixed-effects models using ‘Eigen’and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... CRAN Repos 1, 1-113, 2016	342	2016
lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1–7. 2014 D Bates, M Mächler, B Bolker, S Walker, RHB Christensen, H Singmann, ...	268	2015
Thrombus histology suggests cardioembolic cause in cryptogenic stroke T Boeckh-Behrens, JF Kleine, C Zimmer, F Neff, F Scheipl, J Pelisek, ... Stroke 47 (7), 1864-1871, 2016	258	2016
Functional additive mixed models F Scheipl, AM Staicu, S Greven Journal of Computational and Graphical Statistics 24 (2), 477-501, 2015	257	2015
mboost: Model-based boosting T Hothorn, P Buehlmann, T Kneib, M Schmid, B Hofner R package version 2, 9-1, 2012	251	2012
Predictors of side effects during the buildup phase of venom immunotherapy for Hymenoptera venom allergy: the importance of baseline serum tryptase F Ruëff, B Przybilla, MB Biló, U Müller, F Scheipl, W Aberer, J Birnbaum, ... Journal of Allergy and Clinical Immunology 126 (1), 105-111. e5, 2010	209	2010
Functional generalized additive models MW McLean, G Hooker, AM Staicu, F Scheipl, D Ruppert Journal of Computational and Graphical Statistics 23 (1), 249-269, 2014	199	2014
Straightforward intermediate rank tensor product smoothing in mixed models SN Wood, F Scheipl, JJ Faraway Statistics and Computing 23, 341-360, 2013	198	2013
Fear-related behaviour of dogs in veterinary practice D Döring, A Roscher, F Scheipl, H Küchenhoff, MH Erhard The Veterinary Journal 182 (1), 38-43, 2009	194	2009
A penalized framework for distributed lag non-linear models A Gasparrini, F Scheipl, B Armstrong, MG Kenward Biometrics 73 (3), 938-948, 2017	170	2017
Linear mixed-effect models using Eigen and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... R package version 1, 2014	162	2014
Refund: Regression with functional data J Goldsmith, F Scheipl, L Huang, J Wrobel, J Gellar, J Harezlak, ... R package version 0.1-16 572, 2016	158	2016
Penalized function-on-function regression AE Ivanescu, AM Staicu, F Scheipl, S Greven Computational Statistics 30, 539-568, 2015	153	2015
Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models F Scheipl, L Fahrmeir, T Kneib Journal of the American Statistical Association 107 (500), 1518-1532, 2012	153	2012
Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls O Ronneberger, D Baddeley, F Scheipl, PJ Verveer, H Burkhardt, ... Chromosome research 16, 523-562, 2008	137	2008
Mvtnorm: multivariate normal and t distributions. R package version 0.9-2 A Genz, F Bretz, T Miwa, X Mi, F Leisch, F Scheipl, T Hothorn	136	2008

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