Joachim Vandekerckhove

发表

Accurate time measurement of processing stages during simple human decision making

Michael D. Nunez, Kitty K Lui, Kiana Scambray, 2018 .

Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions

Joachim Vandekerckhove, Michael D Lee, Kensuke Okada, 2018, Behavior research methods.

MATLAB temporary save files (scrambled)

Joachim Vandekerckhove, Gilles Dutilh, 2016 .

Timing of Readiness Potentials Reflect a Decision-making Process in the Human Brain

Michael D. Nunez, Kitty K Lui, Ramesh Srinivasan, 2018, Computational Brain & Behavior.

Timing of Readiness Potentials Reflect a Decision-making Process in the Human Brain

Steven C. Cramer, Michael D. Nunez, Joachim Vandekerckhove, 2020 .

Planned Meta-Analysis

Don van Ravenzwaaij, Joachim Vandekerckhove, Daniel R. Little, 2015 .

Pupil-Linked Arousal Determines Variability in Perceptual Decision Making

Joachim Vandekerckhove, Sander Nieuwenhuis, Peter R. Murphy, 2014, PLoS Comput. Biol..

A diffusion model account of the transfer-of-training effect

Joachim Vandekerckhove, Susanne M. Jaeggi, Martin Buschkuehl, 2015, CogSci.

Worst Performance Rule blind analysis code

Joachim Vandekerckhove, Gilles Dutilh, 2016 .

Metastudies for robust tests of theory

Joachim Vandekerckhove, Daniel R. Little, Jennifer S Trueblood, 2018, Proceedings of the National Academy of Sciences.

Data preprocessing code

Joachim Vandekerckhove, Beth Baribault, 2016 .

Materials: Online survey

Joachim Vandekerckhove, Beth Baribault, Jennifer Wilson, 2015 .

Code for figures

Joachim Vandekerckhove, 2018 .

Output on scrambled data

Joachim Vandekerckhove, Gilles Dutilh, 2016 .

Modeling the Adaptation of Search Termination in Human Decision Making

Ben R. Newell, Michael D. Lee, Joachim Vandekerckhove, 2014 .

Bayesian Inference and Testing Any Hypothesis You Can Specify

Alexander Etz, Joachim Vandekerckhove, Julia M. Haaf, 2018, Advances in Methods and Practices in Psychological Science.

A Hierarchical Cognitive Threshold Model of Human Decision Making on Different Length Optimal Stopping Problems

Michael D. Lee, Joachim Vandekerckhove, Maime Guan, 2015, CogSci.

A latent-mixture quantum probability model of causal reasoning within a Bayesian inference framework

Emmanuel M. Pothos, Jennifer Trueblood, Joachim Vandekerckhove, 2015, CogSci.

Bayesian Cultural Consensus Theory

Joachim Vandekerckhove, William H. Batchelder, Zita Oravecz, 2014 .

Sequential bayesian updating for big data

Joachim Vandekerckhove, Zita Oravecz, Matthew J. Huentelman, 2016 .

Individual differences in attention influence perceptual decision making

Ramesh Srinivasan, Michael D. Nunez, Joachim Vandekerckhove, 2015, Front. Psychol..

Diffusion model analysis with MATLAB: A DMAT primer

Francis Tuerlinckx, Joachim Vandekerckhove, F. Tuerlinckx, 2008, Behavior research methods.

A cognitive modeling analysis of risk in sequential choice tasks

Michael D. Lee, Joachim Vandekerckhove, Ryan C. Stokes, 2020, Judgment and Decision Making.

MATLAB for Behavioral Scientists: A novice's guide to MATLAB

Francis Tuerlinckx, Joachim Vandekerckhove, 2008 .

A quantum probability account of individual differences in causal reasoning

Emmanuel M. Pothos, Joachim Vandekerckhove, Jennifer S. Trueblood, 2018, Journal of Mathematical Psychology.

A Bayesian approach to diffusion process models of decision-making

Michael D. Lee, Joachim Vandekerckhove, Francis Tuerlinckx, 2008 .

Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example)

Joachim Vandekerckhove, Dominik Wabersich, J. Vandekerckhove, 2013, Behavior Research Methods.

Latent structure of attention

Joachim Vandekerckhove, Beth Baribault, J. Vandekerckhove, 2016 .

Violence in the Intifada: A Demonstration of Bayesian Generative Modeling

Michael D. Lee, Joachim Vandekerckhove, Percy K. Mistry, 2018 .

Time-varying boundaries for diffusion models of decision making and response time

Michael D. Lee, Joachim Vandekerckhove, Gunter Maris, 2014, Front. Psychol..

The latency of a visual evoked potential tracks the onset of decision making

Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan, 2018, NeuroImage.

Editorial: Bayesian methods for advancing psychological science

Joachim Vandekerckhove, Jeffrey N Rouder, Jeffrey N. Rouder, 2018, Psychonomic bulletin & review.

Bayesian inference for psychology, part III: Parameter estimation in nonstandard models

Joachim Vandekerckhove, Udo Boehm, Dora Matzke, 2017, Psychonomic Bulletin & Review.

A hierarchical latent stochastic differential equation model for affective dynamics.

Francis Tuerlinckx, Joachim Vandekerckhove, Zita Oravecz, 2011, Psychological methods.

Individual Differences in Cortical Processing Speed Predict Cognitive Abilities: a Model-Based Cognitive Neuroscience Account

Michael D. Nunez, Joachim Vandekerckhove, Dirk Hagemann, 2018, bioRxiv.

A diffusion model account of the relationship between the emotional flanker task and rumination and depression.

Peter Kuppens, Joachim Vandekerckhove, J. Vandekerckhove, 2013, Emotion.

The concavity effect is a compound of local and global effects

Johan Wagemans, Sven Panis, Joachim Vandekerckhove, 2007, Perception & psychophysics.

A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data

Francis Tuerlinckx, Joachim Vandekerckhove, Zita Oravecz, 2009 .

A test of the diffusion model explanation for the worst performance rule using preregistration and blinding

Joachim Vandekerckhove, Jörg Rieskamp, Dora Matzke, 2017, Attention, perception & psychophysics.

Identification of Everyday Objects on the Basis of Fragmented Outline Versions

Johan Wagemans, Sven Panis, Joachim Vandekerckhove, 2008, Perception.

The RWiener Package: an R Package Providing Distribution Functions for the Wiener Diffusion Model

Joachim Vandekerckhove, Dominik Wabersich, J. Vandekerckhove, 2014, R J..

Bayesian inference for psychology, part IV: parameter estimation and Bayes factors

Joachim Vandekerckhove, Jeffrey N Rouder, Jeffrey N. Rouder, 2018, Psychonomic Bulletin & Review.

Introduction to Bayesian Inference for Psychology

Alexander Etz, Joachim Vandekerckhove, J. Vandekerckhove, 2018, Psychonomic bulletin & review.

How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.

Ramesh Srinivasan, Michael D. Nunez, Joachim Vandekerckhove, 2017, Journal of mathematical psychology.

The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models

Thomas V. Wiecki, Thomas J. Palmeri, Andrew Heathcote, 2018, Psychonomic Bulletin & Review.

Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model

Francis Tuerlinckx, Joachim Vandekerckhove, Zita Oravecz, 2016, Multivariate behavioral research.

Oxford Handbook of Computational and Mathematical Psychology

Joachim Vandekerckhove, Dora Matzke, Eric-Jan Wagenmakers, 2014 .

A diffusion model account of age differences in posterror slowing.

Joachim Vandekerckhove, Eric-Jan Wagenmakers, Gilles Dutilh, 2013, Psychology and aging.

A cognitive latent variable model for the simultaneous analysis of behavioral and personality data.

Joachim Vandekerckhove, J. Vandekerckhove, 2014 .

Robust Modeling in Cognitive Science

Alexander Etz, Amy H. Criss, Michael D. Lee, 2019, Computational Brain & Behavior.

Fitting the ratcliff diffusion model to experimental data

Francis Tuerlinckx, Joachim Vandekerckhove, F. Tuerlinckx, 2007, Psychonomic bulletin & review.