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Peter J. Rousseeuw

3 papers here

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

author position
  • middle author2
  • last author1

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

fields
  • stat.AP1
  • stat.CO1
  • stat.ME1
ORCID 0000-0002-3807-5353

identity via Semantic Scholar / OpenAlex

most citedEconometric applications of high-breakdown robust regression techniques

33 citations · 37 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.ME2024★ 4 cited

Distance Covariance, Independence, and Pairwise Differences

Jakob Raymaekers, Peter J. Rousseeuw

(To appear in The American Statistician.) Distance covariance (Székely, Rizzo, and Bakirov, 2007) is a fascinating recent notion, which is popular as a test for dependence of any t…

stat.AP2017★ 33 cited

Econometric applications of high-breakdown robust regression techniques

Asad Zaman, Peter J. Rousseeuw, Mehmet Orhan

A literature search shows that robust regression techniques are rarely used in applied econometrics. We list several misconceptions about robustness which lead to this situation. W…

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