Bayesian inference requires the specification of prior distributions that quantify the pre-data
uncertainty about parameter values. One way to specify prior distributions is through prior …

Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …

Evidence accumulations models (EAMs) have become the dominant modeling framework
within rapid decision-making, using choice response time distributions to make inferences …

The Bayesian statistical framework requires the specification of prior distributions, which
reflect predata knowledge about the relative plausibility of different parameter values. As …

In recent years, open science practices have become increasingly popular in psychology
and related sciences. These practices aim to increase rigour and transparency in science as …

Parametric cognitive models are increasingly popular tools for analyzing data obtained from
psychological experiments. One of the main goals of such models is to formalize …

Conflict tasks have become one of the most dominant paradigms within cognitive
psychology, with their key finding being the conflict effect: That participants are slower and …

Recent discussions within the mathematical psychology community have focused on how
Open Science practices may apply to cognitive modelling. Lee et al.(2019) sketched an …

Conflict tasks are one of the most widely studied paradigms within cognitive psychology,
where participants are required to respond based on relevant sources of information while …

Over the last decade, the Bayesian estimation of evidence-accumulation models has gained
popularity, largely due to the advantages afforded by the Bayesian hierarchical framework …