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M. Marsman

23 papers hereh-index 348.6k citations141 works total

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

author position
  • middle author13
  • last author10

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

fields
  • stat.ME14
  • math.ST3
  • stat.AP2
  • stat.CO2
  • physics.soc-ph1
  • q-bio.NC1
same name
  • M. Marsman — 23 papers, h 39
  • M. Marsman — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedEstimating psychopathological networks: be careful what you wish for

333 citations · 349 across the 20 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

stat.ME2017★ 2 cited

Bayesian Rank-Based Hypothesis Testing for the Rank Sum Test, the Signed Rank Test, and Spearman's ρ

Johnny van Doorn, Alexander Ly, Maarten Marsman +1

Bayesian inference for rank-order problems is frustrated by the absence of an explicit likelihood function. This hurdle can be overcome by assuming a latent normal representation t…

math.ST2017

A Tutorial on Fisher Information

Alexander Ly, Maarten Marsman, Josine Verhagen +2

In many statistical applications that concern mathematical psychologists, the concept of Fisher information plays an important role. In this tutorial we clarify the concept of Fish…

stat.CO2017★ 1 cited

A Tutorial on Bridge Sampling

Quentin F. Gronau, Alexandra Sarafoglou, Dora Matzke +7

The marginal likelihood plays an important role in many areas of Bayesian statistics such as parameter estimation, model comparison, and model averaging. In most applications, howe…

stat.ME2017★ 4 cited

Bayesian Estimation of Kendall's tau Using a Latent Normal Approach

Johnny van Doorn, Alexander Ly, Maarten Marsman +1

The rank-based association between two variables can be modeled by introducing a latent normal level to ordinal data. We demonstrate how this approach yields Bayesian inference for…

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