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Révész | M0.02
Plantage Muidergracht 12, 1018 TV Amsterdam

Workshop: Hands-On Tutorial on e-Values, Safe Tests and Anytime-Valid Confidence Intervals for Efficient Statistical Inference
Jul 18 @ 09:00 UTC - Jul 18 @ 12:30 UTC
Public session
Recently developed safe tests based on e-values, and anytime-valid confidence intervals form a suite of statistical methods that simplify and optimise the design, conduct, and inferential process for both single-lab experiments and large-scale multi-lab (replication) studies. Safe tests combine the interpretability of Bayes factors (i.e. measuring evidence for and against a null hypothesis) with frequentist power and type I error guarantees. These guarantees are maintained even if the safe test is conducted after each observation and used to determine whether the experiment should be (prematurely) stopped or continued. Similarly, unlike 95% (Bayesian) credible intervals and 95% (frequentist) confidence intervals, a 95% anytime-valid confidence interval will, with at least 95% chance, cover the true effect size regardless of whether or how data collection is stopped. In this workshop we will provide an introduction to this novel framework of statistical inference, and show how it can be exploited to yield more generalisable conclusions with less data. We will alternate between short theoretical lectures and hands-on practical sessions that focus on designing and making inference for practical problems with R/RStudio.
Hands-on tutorial on e-values, safe tests and anytime-valid confidence intervals for efficient statistical inference
Prof. Peter Grünwald, Dr. Rianne de Heide, Dr. Udo Boehm, Dr. Rosanne J Turner, Alexander Ly
Workshop: Detecting Single-Trial Cognitive Events in EEG Using Hidden Semi-Markov Pattern Analysis and the HMP Python Package
Jul 18 @ 14:00 UTC - Jul 18 @ 17:30 UTC
Public session
In this workshop, participants will learn how to use hidden semi-Markov pattern analysis (HMP, Anderson, Zhang, Borst, \& Walsh, 2016) to detect cognitive stages on a by-trial basis in EEG data. HMP combines hidden semi-Markov models with multivariate pattern analysis to quantify the number of cognitive processes within a trial as well as estimate their durations on a single-trial basis. The workshop is decomposed into lectures about the method and tutorials. Tutorials will be based on a python implementation with new functionalities (see and will guide participants through all the possibilities offered by HMP. After this workshop, participants will be familiar with the method and the code, able to simulate data corresponding to their research question, fit HMP models to their data, analyse the resulting models and draw inferences on experimental and individual differences, and leverage their EEG analysis through by-trial estimates of cognitive events timing. The last lecture will allow participants to further think about how they can integrate HMP with cognitive and statistical models of behaviour. To make the most of the workshop you should bring your laptop with Anaconda installed (see [anaconda]( for how to install). Once conda is installed you can already download MNE python ( to save some time during the set-up, a recommended way is to use a dedicated conda environment as follows (see [conda managing environments]( ``` $ conda create --override-channels --channel=conda-forge --name=hmp mne ``` Please don't yet install the hsmm_mvpy package (, instructions will be given during the workshop.
Symposium: Deterministic and Probabilistic Models of Choice
Jul 19 @ 09:00 UTC - Jul 19 @ 11:00 UTC
In-person session
Identifying context effect sweet spots: There’s an app for that!
Daniel Cavagnaro, Elizabeth Pettit, Ms. Yu Huang, Joe Johnson, Michel Regenwetter
Random ordering models and flow polytopes
Jean-Paul Doignon, Kota Saito
If You Only Saw What I Saw: Modeling Heterogeneous Experiences and the Description-Experience Gap
Mr. James Adaryukov, Daniel Cavagnaro, Tim Pleskac, Michel Regenwetter
(Ir)rationality of Moral Judgment
Michel Regenwetter, Ms. Brittney Currie, Ms. Yu Huang, Dr. Bart Smeulders, Ms. Anna Carlson
Quantum & Context Effects
Jul 19 @ 11:20 UTC - Jul 19 @ 12:40 UTC
In-person session
Evaluating the Generalizability of Diverse Models of Interference Effects
Dr. Lorraine Borghetti, Dr. Christopher Fisher, Christopher Adam Stevens, Prof. Joe Houpt, Dr. Taylor Curley, Dr. Leslie Blaha, Dr. George Chadderdon
Contextuality and hidden variable models
Dr. Ehtibar N. Dzhafarov
Where are the context effects?
Xiaohong Cai, Tim Pleskac
Contextual Sensitivity in Naturalistic Multi-alternative Choice
Jennifer Trueblood, Prof. Bill Holmes, Dr. William Hayes
Dyad and Agent Modelling
Jul 21 @ 09:00 UTC - Jul 21 @ 10:40 UTC
In-person session
Narcissism and the social context: An agent-based modeling approach
Lena Herchenhahn, Veronika Lerche, Mr. Martin Schoemann, Prof. Stefan Scherbaum
Mental model evolution in social networks
Mr. Alperen Yasar, Prof. Michel Grabisch
A formal model of affiliative interpersonality
Prof. Stefan Westermann, Dr. Sven Banisch
Statistics & Individual Differences
Jul 21 @ 11:00 UTC - Jul 21 @ 12:40 UTC
In-person session
Safe anytime live and leading interim meta-analysis
Alexander Ly, Dr. Judith ter Schure, Prof. Peter Grünwald
Temporal structure in sensorimotor variability is a reliable trait, but is unrelated to attentional state measures
Dr. Marlou Perquin, Dr. Marieke Van Vugt, Dr. Craig Hedge, Dr. Aline Bompas