Dr. Colin Griesbach

1-8 of 8
 
The bibliographical data in your publication list are complete
You can correct existing data in the blue highlighted fields.To do this, please click on the coloured field. It is not possible to delete data here.
Fields that are not marked in colour (e. g. the authors) can be edited using the input form. To do so, click on the in front of the respective publication.
The bibliographic data in your publication list may be incomplete. You can
  • add any missing data in the fields marked in red or
  • correct existing data in the blue highlighted fields.
To do this, please click on the coloured field. It is not possible to delete data here.
Fields that are not marked in colour (e. g. the authors) can be edited using the input form. To do so, click on the in front of the respective publication.
Check/Uncheck all
  • 2023 | Journal Article | 
    ​ ​Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques​
    Griesbach, C. ; Mayr, A. & Bergherr, E. ​ (2023) 
    Mathematics, 11(2) pp. 411​.​ DOI: https://doi.org/10.3390/math11020411 
    ​Details  DOI 
  • 2023 | Conference Paper
    ​ ​A novel gradient boosting framework for generalised additive mixed models​
    Knieper, L. ; Bergherr, E. ; Hothorn, T.; Müller-Voggel, N. & Griesbach, C. ​ (2023)
    In:Bergherr, Elisabeth; Groll, Andreas; Mayr, Andreas​ (Eds.), ​Proceedings of the 37th International Workshop on Statistical Modelling. ​International Workshop on Statistical Modelling​, Dortmund, Germany.
    Proceedings of the 37th International Workshop on Statistical Modelling​: TU Dortmund University.
    ​Details 
  • 2023 | Journal Article
    ​ ​Prediction-based variable selection for component-wise gradient boosting​
    Potts, S. ; Bergherr, E. ; Reinke, C. & Griesbach, C. ​ (2023) 
    The International Journal of Biostatistics,.​ DOI: https://doi.org/10.1515/ijb-2023-0052 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Bayesian learners in gradient boosting for linear mixed models​
    Zhang, B. ; Griesbach, C.   & Bergherr, E. ​ (2022) 
    The International Journal of Biostatistics, 0(0).​ DOI: https://doi.org/10.1515/ijb-2022-0029 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper
    ​ ​Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques​
    Griesbach, C. ; Groll, A. & Bergherr, E. ​ (2021) 
    PLoS One, 16(7) art. e0254178​.​ DOI: https://doi.org/10.1371/journal.pone.0254178 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper
    ​ ​Gradient boosting for linear mixed models​
    Griesbach, C. ; Säfken, B. & Waldmann, E. ​ (2021) 
    The International Journal of Biostatistics, 17(2) pp. 317​-329​.​ DOI: https://doi.org/10.1515/ijb-2020-0136 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Joint Modelling Approaches to Survival Analysis via Likelihood-Based Boosting Techniques​
    Griesbach, C. ; Groll, A. & Bergherr, E. ​ (2021) 
    Computational and Mathematical Methods in Medicine, 2021.​ DOI: https://doi.org/10.1155/2021/4384035 
    ​Details  DOI  PMID  PMC 
  • 2020 | Conference Paper
    ​ ​Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques​
    Griesbach, C. ; Groll, A. & Waldmann, E. ​ (2020)
    ​Proceedings of the 35th International Workshop on Statistical Modelling. ​35th International Workshop on Statistical Modelling, IWSM2020​, Bilbao, Spain.
    ​Details 

Publication List

All Articles (Book & Journal) Conference objects Articles & Preprints Papers (Journal & Conference)

Filter

Active filter:
Contributor:  Waldmann, Elisabeth

Type

Subtype

Date issued

Author

Subject

Organization

Language

Fulltext

Options

Citation Style

GRO View APA Chicago MLA Vancouver
https://publications.goettingen-research-online.de URI: /cris/rp/rp114975
ID: 0000000
PREF: default TOKEN:

0

Sort

Issue Date
ASC DESC
Title
ASC DESC

Embed

JavaScript
Link

Export

Activate Export Mode
Deactivate Export Mode

Select some or all items (max. 800 for CSV/Excel) from the publications list, then choose an export format below.