Evidence accumulation models (EAMs) are the dominant framework for modeling response
time (RT) data from speeded decision-making tasks. While providing a good quantitative …

The spatial error model (SEM) is a type of simultaneous autoregressive (SAR) model for
analysing spatially correlated data. Markov chain Monte Carlo (MCMC) is one of the most …

Evidence accumulation models (EAMs) are an important class of cognitive models used to
analyze both response time and response choice data recorded from decision-making tasks …

The Bayesian Synthetic Likelihood (BSL) method is a widely-used tool for likelihood-free
Bayesian inference. This method assumes that some summary statistics are normally …

There has been a long standing argument in the Kuhne household over whether Caroline's
dog “Derek”, or her mum Erin's dog “Murphy” is smarter. Derek knows more complex tricks …

One of the laborious tasks in operating and managing oil palm lands is measuring the
nutrient content of leaves in a timely and periodic manner. It takes a manual process and …

dc. description. abstract The thesis develops efficient Bayesian estimation methods for
Evidence Accumulation Models (EAMs), an important class of Cognitive Science models …

Improving mechanistic understanding and prediction capabilities of long-term organic soil
system dynamics is a high priority for biogeochemists, soil scientists, and climate policy …