Statistical Computing

Current Conferences

Statistical Computing 2019

Schloss Reisensburg (Günzburg, Germany)
Wissenschaftszentrum Schloss Reisensburg der Universität Ulm
Bürgermeister-Johann-Müller-Str. 1
D-89312 Günzburg / Donau
Günzburg, DE

June 30, 2019 – July 3, 2019

51th 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.

Abstract submission deadline: 01. April 2019

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 Axel Fuerstberger (axel.fuerstberger@uni-ulm.de). The workshop language will be English.

Confirmed speakers are

  • Joachim Buhmann (Zürich): Can I believe what I see? - Information theoretic algorithm validation
  • Christiane Fuchs (Bielefeld): Tackling leukemia through computational statistics
  • Annika Hoyer (Düsseldorf): A bivariate time-to-event model for the meta-analysis of full ROC curves
  • Nadja Klein (Berlin): A Novel Spike-and-Slab Prior for Effect Selection in Distributional Regression Models
  • Nikolaus Umlauf (Innsbruck): bamlss: A Lego toolbox for flexible regression models

  • Tutorial: Scalable Automatic Machine Learning with H2O
Statistical Computing 2019 Flyer

Program (TBA)

Templates for abstract submissions

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

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