Statistical Computing 2024

Schloss Reisensburg (Günzburg, Germany)

July 28, 2024 – July 31, 2024


54th workshop of the working groups Statistical Computing (GMDS/IBS-DR) and Klassifikation und Datenanalyse in den Biowissenschaften (GfKl).

The workshop "Statistical Computing" is held annually by the Working Groups "Statistical Computing" of the GMDS/IBS-DR and "Biostatistics" of the GfKl. The meeting offers a forum for the discussion of methodological developments in the field of statistical computing. Special emphasis is given on applications in the life sciences, but contributions from other research areas are also very welcome.

The location of the "Statistical Computing" workshops is Reisensburg Castle near Ulm (Germany), which provides on-site accommodation and food for the participants. The workshop is usually started on Sunday by a keynote talk held by an expert in the field of statistical computing. In the following days the program includes contributed talks, hands-on tutorials and at least one more keynote talk. The number of participants is typically around 40, which facilitates productive and enjoyable discussions.

Gruppenfoto

Abstract submission deadline: 31.05.2024

We appreciate contributed presentations from the research areas "Statistical Computing" and "Computational Statistics".
Abstracts for talks or posters should be submitted by e-mail to Hans Kestler (hans.kestler@uni-ulm.de) and Johann Kraus (johann.kraus@uni-ulm.de). The workshop language will be English.

Confirmed invited speakers are

  • Achim Tresch (Köln) - Feature extraction for multivariate spatial data
  • Eyke Hüllermeier (München) - Uncertainty Quantification in Machine Learning: From Aleatoric to Epistemic
  • Sarah Friedrich (Augsburg) - Regularization methods in clinical biostatistics: State-of-the art and possibilities for improvement
Confirmed speaker for the MaRDI session
  • Sara El-Gebali (Datacite, Schweden) - From Data to Discovery: DataCite’s Role in FAIR Data Management
  • Roman Hornung (München) - Reproducibility at the Biometrical Journal: Simple tips for writing and publishing clear code to ensure reproducible results

Statistical Computing 2024 Program

Statistical Computing 2024 Abstracts

Templates for abstract submissions

If you submit an abstract for a talk or a poster presentation, please use the following templates:

latex template

word template

 

Sponsored by the Mathematical Research Data Initiative (MaRDI), represented by the Task Area Statistics and Machine Learning (Members: TUM, LMU, and WIAS).

MaRDI

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