While decision theories have evolved over the past five decades, their focus has largely
been on choices among a limited number of discrete options, even though many real-world …

Parameter estimation in evidence-accumulation models of choice response times is
demanding of both the data and the user. We outline how to fit evidence-accumulation …

Interest in the processes that mediate between stimuli and responses is at the heart of most
modern psychology and neuroscience. These processes cannot be directly measured but …

Understanding the cognitive processes underlying choice requires theories that can
disentangle the representation of stimuli from the processes that map these representations …

Many important real-world decision tasks involve the detection of rarely occurring targets
(eg, weapons in luggage, potentially cancerous abnormalities in radiographs). Over the past …

Theories that describe how people assign prices and make choices are typically based on
the idea that both of these responses are derived from a common static, deterministic …

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 …

Recently developed models of decision-making have provided accounts of the cognitive
processes underlying choice on tasks where responses can fall along a continuum, such as …

Likelihood functions are an integral component of statistical approaches to parameter
estimation and model evaluation. However, likelihood functions are rarely used in cognitive …

Evidence accumulation models are a useful tool to allow researchers to investigate the
latent cognitive variables that underlie response time and response accuracy. However …