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M. Slawski

24 papers hereh-index 222.1k citations63 works total

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

author position
  • sole author2
  • first author11
  • middle author3
  • last author7

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • stat.ME9
  • math.ST7
  • stat.ML4
  • cs.IT2
  • stat.AP1
  • stat.CO1

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedFeature selection guided by structural information

42 citations · 81 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

stat.ME2025

Causal Secondary Analysis of Linked Data in the Presence of Mismatch Error

Martin Slawski

The increased prevalence of observational data and the need to integrate information from multiple sources are critical challenges in contemporary data analysis. Record linkage is…

stat.ME2025

Relaxing the Assumption of Strongly Non-Informative Linkage Error in Secondary Regression Analysis of Linked Files

Priyanjali Bukke, Martin Slawski

Data analysis of files that are a result of linking records from multiple sources are often affected by linkage errors. Records may be linked incorrectly, or their links may be mis…

stat.ME2025

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference

Niloofar Ramezani, Martin Slawski

Beta regression is commonly employed when the outcome variable is a proportion. Since its conception, the approach has been widely used in applications spanning various scientific…

math.ST2025

Identifiability in Unlinked Linear Regression: Some Results and Open Problems

Fadoua Balabdaoui, Martin Slawski, Jonathan Steffani

A tacit assumption in classical linear regression problems is the full knowledge of the existing link between the covariates and responses. In Unlinked Linear Regression (ULR) this…

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