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ORCIDJoris Mulder
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2020 – today
- 2024
[j13]Elizaveta Sivak
, Paulina Pankowska, Adriënne Mendrik, Tom Emery, Javier Garcia-Bernardo, Seyit Hocuk, Kasia Karpinska, Angelica Maineri, Joris Mulder, Malvina Nissim, Gert Stulp:
Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer). J. Comput. Soc. Sci. 7(2): 1403-1431 (2024)- [j12]Fabio Vieira, Roger Th. A. J. Leenders, Joris Mulder:
Fast meta-analytic approximations for relational event models: applications to data streams and multilevel data. J. Comput. Soc. Sci. 7(2): 1823-1859 (2024) - [j11]Joris Mulder, Nial Friel, Philip Leifeld:
Bayesian testing of scientific expectations under exponential random graph models. Soc. Networks 78: 40-53 (2024) - [i3]Elizaveta Sivak, Paulina Pankowska, Adriënne Mendrik, Tom Emery, Javier Garcia-Bernardo, Seyit Hocuk, Kasia Karpinska, Angelica Maineri, Joris Mulder, Malvina Nissim, Gert Stulp:
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer). CoRR abs/2402.00705 (2024) - [i2]Rumana Lakdawala, Joris Mulder, Roger Th. A. J. Leenders:
Simulating Relational Event Histories - Why and How. CoRR abs/2403.19329 (2024) - 2023
- [j10]Giuseppe Arena, Joris Mulder, Roger Th. A. J. Leenders:
How fast do we forget our past social interactions? Understanding memory retention with parametric decays in relational event models. Netw. Sci. 11(2): 267-294 (2023) - [j9]Jason Gravel, Matthew Valasik, Joris Mulder, Roger Th. A. J. Leenders, Carter T. Butts, P. Jeffrey Brantingham, George E. Tita:
Rivalries, reputation, retaliation, and repetition: Testing plausible mechanisms for the contagion of violence between street gangs using relational event models. Netw. Sci. 11(2): 324-350 (2023) - [j8]Diana Karimova, Roger Th. A. J. Leenders, Marlyne Meijerink-Bosman, Joris Mulder:
Separating the wheat from the chaff: Bayesian regularization in dynamic social networks. Soc. Networks 74: 139-155 (2023) - [j7]Mahdi Shafiee Kamalabad, Roger Th. A. J. Leenders, Joris Mulder:
What is the Point of Change? Change Point Detection in Relational Event Models. Soc. Networks 74: 166-181 (2023) - 2022
- [i1]Fabio Vieira, Roger Th. A. J. Leenders, Daniel A. McFarland, Joris Mulder:
Bayesian mixed-effect models for independent dynamic social network data. CoRR abs/2204.10676 (2022) - 2021
- [j6]Joris Mulder, Donald R. Williams, Xin Gu, Andrew Tomarken, Florian Böing-Messing, Anton Olsson-Collentine, Marlyne Meijerink, Janosch Menke, Robbie van Aert, Jean-Paul Fox, Herbert Hoijtink, Yves Rosseel, Eric-Jan Wagenmakers, Caspar J. van Lissa:
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R. J. Stat. Softw. 100(18) (2021) - 2020
- [j5]Donald Williams, Joris Mulder:
BGGM: Bayesian Gaussian Graphical Models in R. J. Open Source Softw. 5(51): 2111 (2020)
2010 – 2019
- 2017
- [j4]Dino Dittrich, Roger Th. A. J. Leenders, Joris Mulder:
Bayesian estimation of the network autocorrelation model. Soc. Networks 48: 213-236 (2017) - 2016
- [j3]Jean-Paul Fox, Maarten Marsman, Joris Mulder, Josine Verhagen:
Complex Latent Variable Modeling in Educational Assessment. Commun. Stat. Simul. Comput. 45(5): 1499-1510 (2016) - 2014
- [j2]Joris Mulder:
Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses. Comput. Stat. Data Anal. 71: 448-463 (2014) - 2013
- [j1]Joris Mulder, Jean-Paul Fox:
Bayesian tests on components of the compound symmetry covariance matrix. Stat. Comput. 23(1): 109-122 (2013)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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