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researcher

Sarah Leyder

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.CO1
ORCID 0000-0002-0828-0399

identity via Semantic Scholar / OpenAlex

most citedGeneralized Spherical Principal Component Analysis

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

stat.CO2024

RobPy: a Python Package for Robust Statistical Methods

Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw +2

Robust estimation provides essential tools for analyzing data that contain outliers, ensuring that statistical models remain reliable even in the presence of some anomalous data. W…

stat.ME2023★ 1 cited

TSLiNGAM: DirectLiNGAM under heavy tails

Sarah Leyder, Jakob Raymaekers, Tim Verdonck

One of the established approaches to causal discovery consists of combining directed acyclic graphs (DAGs) with structural causal models (SCMs) to describe the functional dependenc…

stat.ME2023★ 1 cited

Generalized Spherical Principal Component Analysis

Sarah Leyder, Jakob Raymaekers, Tim Verdonck

Outliers contaminating data sets are a challenge to statistical estimators. Even a small fraction of outlying observations can heavily influence most classical statistical methods.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.