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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010
Anzahl der Publikationen: 24 .

2017

Schauberger, Gunther; Groll, Andreas; Tutz, Gerhard (2017): Analysis of the importance of on-field covariates in the German Bundesliga. In: Journal of Applied Statistics: S. 1-18

Pucken, Valerie-Beau; Knubben-Schweizer, Gabriela; Döpfer, Dörte; Groll, Andreas; Hafner-Marx, Angela; Hörmansdorfer, Stefan; Sauter-Louis, Carola; Straubinger, Reinhard K.; Zimmermann, Pia; Hartnack, Sonja (2017): Evaluating diagnostic tests for bovine tuberculosis in the southern part of Germany: A latent class analysis.
In: PLOS One 12(6), e0179847

Groll, Andreas; Hastie, Trevor; Tutz, Gerhard (2017): Selection of Effects in Cox Frailty Models by Regularization Methods. In: Biometrics, Vol. 73, Nr. 3: S. 846-856

Groll, Andreas; Tutz, Gerhard (2017): Variable selection in discrete survival models including heterogeneity. In: Lifetime Data Analysis, Vol. 23, Nr. 2: S. 305-338

Meid, Andreas D.; Groll, Andreas; Schieborr, Ulrich; Walker, Jochen; Haefeli, Walter E. (2017): How can we define and analyse drug exposure more precisely to improve the prediction of hospitalizations in longitudinal (claims) data? In: European Journal of Clinical Pharmacology, Vol. 73, Nr. 3: S. 373-380

2016

Schauberger, Gunther; Groll, Andreas; Tutz, Gerhard (25. August 2016): Modeling Football Results in the German Bundesliga Using Match-specific Covariates. Department of Statistics: Technical Reports, Nr. 197 [PDF, 560kB]

Groll, Andreas; Kneib, Thomas; Mayr, Andreas; Schauberger, Gunther (22. Juli 2016): Who’s the Favourite? – A Bivariate Poisson Model for the UEFA European Football Championship 2016. Department of Statistics: Technical Reports, Nr. 195 [PDF, 588kB]

Groll, Andreas; Hastie, Trevor; Tutz, Gerhard (25. Februar 2016): Regularization in Cox Frailty Models. Department of Statistics: Technical Reports, Nr. 191 [PDF, 8MB]

Biagini, Francesca; Groll, Andreas; Widenmann, Jan (2016): Risk Minimization for Insurance Products via F-Doubly Stochastic Markov Chains. In: Risks, Vol. 4, Nr. 3, 23 [PDF, 521kB]

Muenchhoff, Maximilian; Adland, Emily; Karimanzira, Owen; Crowther, Carol; Pace, Matthew; Csala, Anna; Leitman, Ellen; Moonsamy, Angeline; McGregor, Callum; Hurst, Jacob; Groll, Andreas; Mori, Masahiko; Sinmyee, Smruti; Thobakgale, Christina; Tudor-Williams, Gareth; Prendergast, Andrew J.; Kloverpris, Henrik; Roider, Julia; Leslie, Alasdair; Shingadia, Delane; Brits, Thea; Daniels, Samantha; Frater, John; Willberg, Christian B.; Walker, Bruce D.; Ndung'u, Thumbi; Jooste, Pieter; Moore, Penny L.; Morris, Lynn; Goulder, Philip (2016): Nonprogressing HIV-infected children share fundamental immunological features of nonpathogenic SIV infection. In: Science Translational Medicine, Vol. 8, Nr. 358, 358ra125

Groll, Andreas; Lopez-Cabrera, Brenda; Meyer-Brandis, Thilo (2016): A consistent two-factor model for pricing temperature derivatives. In: Energy Economics, Vol. 55: S. 112-126

Meid, Andreas D.; Quinzler, Renate; Groll, Andreas; Wild, Beate; Saum, Kai-Uwe; Schöttker, Ben; Heider, Dirk; König, Hans-Helmut; Brenner, Hermann; Haefeli, Walter E. (2016): Longitudinal evaluation of medication underuse in older outpatients and its association with quality of life. In: European Journal of Clinical Pharmacology, Vol. 72, Nr. 7: S. 877-885

2015

Groll, Andreas; Schauberger, Gunther; Tutz, Gerhard (2015): Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014. In: Journal of Quantitative Analysis of Sports, Vol. 11, Nr. 2: S. 97-115

2014

Groll, Andreas; Schauberger, Gunther; Tutz, Gerhard (2. Juli 2014): Brazil or Germany - who will win the trophy? Prediction of the FIFA World Cup 2014 based on team-specific regularized Poisson regression. Department of Statistics: Technical Reports, Nr. 166 [PDF, 634kB]

Tutz, Gerhard; Groll, Andreas (2014): Variable Selection in Discrete Survival Models Including Heterogeneity. Department of Statistics: Technical Reports, Nr. 167 [PDF, 571kB]

Groll, Andreas; Tutz, Gerhard (2014): Variable selection for generalized linear mixed models by L1-penalized estimation. In: Statistics and Computing, Vol. 24, Nr. 2: S. 137-154

2013

Abedieh, Jasmin; Groll, Andreas; Eugster, Manuel J. A. (8. Februar 2013): Measuring Concentration in Data with an Exogenous Order. Department of Statistics: Technical Reports, Nr. 140 [PDF, 484kB]

Tutz, Gerhard; Groll, Andreas (2013): Likelihood-Based Boosting in Binary and Ordinal Random Effects Models. In: Journal of Computational and Graphical Statistics, Vol. 22, Nr. 2: S. 356-378

2012

Groll, Andreas; Tutz, Gerhard (2012): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. In: Methods of Information in Medicine, Vol. 51: S. 168-77

Groll, Andreas; Tutz, Gerhard (2012): Variable Selection for Generalized Linear Mixed Models by $L_1$-Penalized Estimation. In: Statistics and Computing: S. 1-18

2011

Groll, Andreas; Tutz, Gerhard (3. Juni 2011): Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation. Department of Statistics: Technical Reports, Nr. 108 [PDF, 4MB]

Groll, Andreas; Tutz, Gerhard (Juni 2011): Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting. Department of Statistics: Technical Reports, Nr. 110 [PDF, 5MB]

2010

Tutz, Gerhard; Groll, Andreas (Dezember 2010): Binary and Ordinal Random Effects Models Including Variable Selection. Department of Statistics: Technical Reports, Nr. 97 [PDF, 1MB]

Tutz, Gerhard; Groll, Andreas (2010): Generalized linear mixed models based on boosting. In: Kneib, Thomas (Hrsg.): Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir. Heidelberg: Physica-Verlag. S. 197-216

Diese Liste wurde am Wed Jun 20 21:36:47 2018 CEST erstellt.