Abstract: Probabilistic graphical models are useful for modelling stochastic phenomena for doing inferences and reasoning under uncertainty. Especially, chain graph models and Bayesian networks can be ...

A new method is proposed for making inferences from multinomial data in cases where there is no prior information. A paradigm is the problem of predicting the colour of the next marble to be drawn ...

Unfolding theory maps individuals and stimuli into a common latent space, reflecting preferences through proximity. Unlike traditional psychometric methods, unfolding models are complex and ...

Social psychologists have made a number of inferences from the relatively. low predictability of verbal attitudes for overt behavior. Three such inferences having to do with the stability of attitudes ...

Prinsloo, Emily, Kate Barasz, and Peter A. Ubel. "Motivated Inferences of Price and Quality in Healthcare Decisions." Special Issue on Healthcare and Medical Decision Making edited by Dipankar ...