Eric-Jan Wagenmakers

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 9

Top Topics

Variational Bayes

Markov Chain Monte Carlo

Bayesian Inference

Top Venues

Top. Cogn. Sci.

J. Stat. Softw.

J. Numer. Cogn.

Publications

Koen Derks, Jacques de Swart, Eric-Jan Wagenmakers, Jan Wille, Ruud Wetzels
JASP for Audit: Bayesian Tools for the Auditing Practice. J. Open Source Softw. 6 (67) (2021)
Gilles Dutilh, Alexandra Sarafoglou, Eric-Jan Wagenmakers
Flexible yet fair: blinding analyses in experimental psychology. Synth. 198 (23) (2021)
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)
Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers
Informed Bayesian Inference for the A/B Test. J. Stat. Softw. 100 (17) (2021)
Thomas J. Faulkenberry, Alexander Ly, Eric-Jan Wagenmakers
Bayesian Inference in Numerical Cognition: A Tutorial Using JASP. J. Numer. Cogn. 6 (2) (2020)
Daniel W. Heck, Antony M. Overstall, Quentin F. Gronau, Eric-Jan Wagenmakers
Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Stat. Comput. 29 (4) (2019)
Quentin F. Gronau, Eric-Jan Wagenmakers
Bayesian Evidence Accumulation in Experimental Mathematics: A Case Study of Four Irrational Numbers. Exp. Math. 27 (3) (2018)
Bence Palfi, Aba Szollosi, Barnabas Szaszi, Marton Kovacs, Mark Zrubka, Péter Szécsi, Balazs Aczel, Eric-Jan Wagenmakers
Interpreting nonsignificant findings in psychological research. CogSci (2017)
Jeffrey N. Rouder, Richard D. Morey, Josine Verhagen, Jordan M. Province, Eric-Jan Wagenmakers
Is There a Free Lunch in Inference? Top. Cogn. Sci. 8 (3) (2016)
Helen Steingroever, Ruud Wetzels, Eric-Jan Wagenmakers
A Comparison of Reinforcement Learning Models for the Iowa Gambling Task Using Parameter Space Partitioning. J. Probl. Solving 5 (2) (2013)
Brandon M. Turner, Birte U. Forstmann, Eric-Jan Wagenmakers, Scott D. Brown, Per B. Sederberg, Mark Steyvers
A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage 72 (2013)
Eric-Jan Wagenmakers, Han L. J. van der Maas, Simon Farrell
Abstract Concepts Require Concrete Models: Why Cognitive Scientists Have Not Yet Embraced Nonlinearly Coupled, Dynamical, Self-Organized Critical, Synergistic, Scale-Free, Exquisitely Context-Sensitive, Interaction-Dominant, Multifractal, Interdependent Brain-Body-Niche Systems. Top. Cogn. Sci. 4 (1) (2012)
Guy Hawkins, Scott D. Brown, Mark Steyvers, Eric-Jan Wagenmakers
Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model. Cogn. Sci. 36 (3) (2012)
Gilles Dutilh, Eric-Jan Wagenmakers, Ingmar Visser, Han L. J. van der Maas
A Phase Transition Model for the Speed-Accuracy Trade-Off in Response Time Experiments. Cogn. Sci. 35 (2) (2011)
Ruud Wetzels, Raoul P. P. P. Grasman, Eric-Jan Wagenmakers
An encompassing prior generalization of the Savage-Dickey density ratio. Comput. Stat. Data Anal. 54 (9) (2010)
Marieke Jepma, Eric-Jan Wagenmakers, Guido P. H. Band, Sander Nieuwenhuis
The Effects of Accessory Stimuli on Information Processing: Evidence from Electrophysiology and a Diffusion Model Analysis. J. Cogn. Neurosci. 21 (5) (2009)
Woo-Young Ahn, Jerome R. Busemeyer, Eric-Jan Wagenmakers, Julie C. Stout
Comparison of Decision Learning Models Using the Generalization Criterion Method. Cogn. Sci. 32 (8) (2008)
Richard M. Shiffrin, Michael D. Lee, Woojae Kim, Eric-Jan Wagenmakers
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. Cogn. Sci. 32 (8) (2008)
Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers, Ben Blum
Inferring causal networks from observations and interventions. Cogn. Sci. 27 (3) (2003)