Maarten Marsman

About Maarten Marsman

Maarten Marsman, With an exceptional h-index of 31 and a recent h-index of 31 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of psychometrics, network psychometrics, Bayesian statistics, graphical models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model

Tell me why? A scoping review on the fundamental building blocks of fMRI networks

A Good Check on the Bayes Factor

Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach

Bayesian analysis of the ordinal Markov random field

Comparing maximum likelihood and pseudo-maximum likelihood estimators for the Ising model

Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP

Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package

Maarten Marsman Information

University

Position

Assistant Professor

Citations(all)

8642

Citations(since 2020)

7639

Cited By

3898

hIndex(all)

31

hIndex(since 2020)

31

i10Index(all)

51

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Maarten Marsman Skills & Research Interests

psychometrics

network psychometrics

Bayesian statistics

graphical models

Top articles of Maarten Marsman

Title

Journal

Author(s)

Publication Date

Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model

advances. in/psychology

Sara Keetelaar

Nikola Sekulovski

Denny Borsboom

Maarten Marsman

2024/4/20

Tell me why? A scoping review on the fundamental building blocks of fMRI networks

Zarah van der Pal

Linda Douw

Alexandra Genis

Don van den Bergh

Maarten Marsman

...

2024/3/15

A Good Check on the Bayes Factor

Nikola Sekulovski

Maarten Marsman

Eric-Jan Wagenmakers

2024/3/14

Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach

Suzanne Hoogeveen

Denny Borsboom

Šimon Kucharský

Maarten Marsman

Dylan Molenaar

...

2024/1/9

Bayesian analysis of the ordinal Markov random field

Maarten Marsman

Jonas Haslbeck

2023/3/3

Comparing maximum likelihood and pseudo-maximum likelihood estimators for the Ising model

Sara Keetelaar

Nikola Sekulovski

Denny Borsboom

Maarten Marsman

2023/9/28

Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP

Advances in Methods and Practices in Psychological Science

KBS Huth

J de Ron

AE Goudriaan

J Luigjes

R Mohammadi

...

2023

Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package

Karoline Huth

Sara Keetelaar

Nikola Sekulovski

Don van den Bergh

Maarten Marsman

2023/9

multibridge: An R package to evaluate informed hypotheses in binomial and multinomial models

Behavior Research Methods

Alexandra Sarafoglou

Frederik Aust

Maarten Marsman

František Bartoš

Eric-Jan Wagenmakers

...

2023/12

The time-dependent Ising model: An idiographic hidden Markov process for modelling binary network data

Jan Ian Failenschmid

Maarten Marsman

2023/8

Towards an encompassing theory of network models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, and Wasserman (2019).

Maarten Marsman

Lourens Waldorp

Denny Borsboom

2022/2/10

Testing conditional independence in psychometric networks: An analysis of three bayesian methods

Nikola Sekulovski

Sara Keetelaar

Karoline Huth

Eric-Jan Wagenmakers

Riet van Bork

...

2023/4/19

Evaluating multinomial order restrictions with bridge sampling.

Psychological Methods

Alexandra Sarafoglou

Julia M Haaf

Alexander Ly

Quentin F Gronau

Eric-Jan Wagenmakers

...

2023/4

Sensitivity analysis of prior distributions in bayesian graphical modeling: Guiding informed prior choices for conditional independence testing

Nikola Sekulovski

Sara Keetelaar

Jonas Haslbeck

Maarten Marsman

2023/9/29

Idiographic Ising and divide and color models: Encompassing networks for heterogeneous binary data

Multivariate Behavioral Research

Maarten Marsman

Karoline Huth

2023/7/4

Model-averaged Bayesian T-tests

Maximilian Maier

František Bartoš

Daniel Quintana

Fabian Dablander

Don van den Bergh

...

2022/9/16

Modeling Alcohol Use Disorder as a Set of Interconnected Symptoms-Assessing Differences Between Clinical and Population Samples and Across External Factors

Addictive Behaviors

Karoline Huth

Judy Luigjes

Maarten Marsman

Anneke Goudriaan

Ruth van Holst

2021

Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project

Psychology Learning & Teaching

Alexandra Sarafoglou

Anna van der Heijden

Tim Draws

Joran Cornelisse

Eric-Jan Wagenmakers

...

2022/7

Composition algorithms for conditional distributions

Maarten Marsman

Timo B Bechger

Gunter KJ Maris

2022/6/11

Objective Bayesian edge screening and structure selection for Ising networks

Psychometrika

Maarten Marsman

K Huth

Lourens J Waldorp

Ioannis Ntzoufras

2022/3

See List of Professors in Maarten Marsman University(Universiteit van Amsterdam)

Co-Authors

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