A generalized, likelihood-free method for posterior estimation
BM Turner, PB Sederberg - Psychonomic bulletin & review, 2014 - Springer
Recent advancements in Bayesian modeling have allowed for likelihood-free posterior
estimation. Such estimation techniques are crucial to the understanding of simulation-based …
estimation. Such estimation techniques are crucial to the understanding of simulation-based …
The drift diffusion model as the choice rule in reinforcement learning
Current reinforcement-learning models often assume simplified decision processes that do
not fully reflect the dynamic complexities of choice processes. Conversely, sequential …
not fully reflect the dynamic complexities of choice processes. Conversely, sequential …
A method for efficiently sampling from distributions with correlated dimensions.
Bayesian estimation has played a pivotal role in the understanding of individual differences.
However, for many models in psychology, Bayesian estimation of model parameters can be …
However, for many models in psychology, Bayesian estimation of model parameters can be …
Approaches to analysis in model-based cognitive neuroscience
Our understanding of cognition has been advanced by two traditionally non-overlapping and
non-interacting groups. Mathematical psychologists rely on behavioral data to evaluate …
non-interacting groups. Mathematical psychologists rely on behavioral data to evaluate …
Theoretically informed generative models can advance the psychological and brain sciences: Lessons from the reliability paradox
Theories of individual differences are foundational to psychological and brain sciences, yet
they are traditionally developed and tested using superficial summaries of data (eg, mean …
they are traditionally developed and tested using superficial summaries of data (eg, mean …
[HTML][HTML] Advances in techniques for imposing reciprocity in brain-behavior relations
To better understand human behavior, the emerging field of model-based cognitive
neuroscience seeks to anchor psychological theory to the biological substrate from which …
neuroscience seeks to anchor psychological theory to the biological substrate from which …
Mind wandering at the fingertips: Automatic parsing of subjective states based on response time variability
M Bastian, J Sackur - Frontiers in psychology, 2013 - frontiersin.org
Research from the last decade has successfully used two kinds of thought reports in order to
assess whether the mind is wandering: random thought-probes and spontaneous reports …
assess whether the mind is wandering: random thought-probes and spontaneous reports …
Informing cognitive abstractions through neuroimaging: the neural drift diffusion model.
Trial-to-trial fluctuations in an observer's state of mind have a direct influence on their
behavior. However, characterizing an observer's state of mind is difficult to do with …
behavior. However, characterizing an observer's state of mind is difficult to do with …
[PDF][PDF] Learning from the reliability paradox: How theoretically informed generative models can advance the social, behavioral, and brain sciences
A primary aim of social, behavioral, and brain sciences is to develop explanations that
answer questions of why or how observed psychological phenomena occur (Hempel & …
answer questions of why or how observed psychological phenomena occur (Hempel & …
Approximate Bayesian computation with differential evolution
BM Turner, PB Sederberg - Journal of Mathematical Psychology, 2012 - Elsevier
Approximate Bayesian computation (ABC) is a simulation-based method for estimating the
posterior distribution of the parameters of a model. The ABC approach is instrumental when …
posterior distribution of the parameters of a model. The ABC approach is instrumental when …