JournalsowrVol. 19, No. 4pp. 3121–3170

Algebraic Structures in Statistical Methodology

  • Mathias Drton

    Technische Universität München, Garching bei München, Germany

  • Thomas Kahle

    Otto-von-Guericke-Universität, Magdeburg, Germany

  • Seth Sullivant

    North Carolina State University, Raleigh, USA

  • Caroline Uhler

    Massachusetts Institute of Technology, Cambridge, USA
Algebraic Structures in Statistical Methodology cover
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Abstract

Algebraic structures arise naturally in a broad variety of statistical problems, and numerous fruitful connections have been made between algebra and discrete mathematics and research on statistical methodology. The workshop took up this theme with a particular focus on algebraic approaches to graphical models, causality, axiomatic systems for independence and non-parametric models.

Cite this article

Mathias Drton, Thomas Kahle, Seth Sullivant, Caroline Uhler, Algebraic Structures in Statistical Methodology. Oberwolfach Rep. 19 (2022), no. 4, pp. 3121–3170

DOI 10.4171/OWR/2022/55