Follow
Fabian Scheipl
Fabian Scheipl
LMU Munich / Munich Center for Machine Learning
Verified email at stat.uni-muenchen.de - Homepage
Title
Cited by
Cited by
Year
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
8122008
gamm4: Generalized additive mixed models using mgcv and lme4.
S Wood
R Packag. version 0.2-3, 2014
5872014
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
5042009
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
3542008
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
3292016
mboost: Model-based boosting
T Hothorn, P Bühlmann, T Kneib, M Schmid, B Hofner
R package version 2, 9-1, 2012
3102012
gamm4: Generalized Additive Mixed Models using ‘mgcv’and ‘lme4’. R package version 0.2-5
S Wood, F Scheipl
2532017
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
2432016
Functional additive mixed models
F Scheipl, AM Staicu, S Greven
Journal of Computational and Graphical Statistics 24 (2), 477-501, 2015
2402015
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
2032010
Package ‘lme4’
D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ...
URL http://lme4. r-forge. r-project. org, 2009
1972009
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
1932014
Straightforward intermediate rank tensor product smoothing in mixed models
SN Wood, F Scheipl, JJ Faraway
Statistics and Computing 23, 341-360, 2013
1862013
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
1852009
A penalized framework for distributed lag non‐linear models
A Gasparrini, F Scheipl, B Armstrong, MG Kenward
Biometrics 73 (3), 938-948, 2017
1602017
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
1572016
spikeSlabGAM: Bayesian variable selection, model choice and regularization for generalized additive mixed models in R
F Scheipl
arXiv preprint arXiv:1105.5253, 2011
1552011
mvtnorm: Multivariate Normal and t Distributions. R package version 0.9-9991
A Genz, F Bretz, T Miwa, X Mi, F Leisch, F Scheipl, T Hothorn
1512011
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
1462012
Penalized function-on-function regression
AE Ivanescu, AM Staicu, F Scheipl, S Greven
Computational Statistics 30, 539-568, 2015
1402015
The system can't perform the operation now. Try again later.
Articles 1–20