Exemplar models as a mechanism for performing Bayesian inference
نویسندگان
چکیده
منابع مشابه
Exemplar models as a mechanism for performing Bayesian inference.
Probabilistic models have recently received much attention as accounts of human cognition. However, most research in which probabilistic models have been used has been focused on formulating the abstract problems behind cognitive tasks and their optimal solutions, rather than on mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process mode...
متن کاملExemplar models and Bayesian inference 1 Running head: EXEMPLAR MODELS AND BAYESIAN INFERENCE Exemplar models as a mechanism for performing Bayesian inference
Probabilistic models have recently received much attention as accounts of human cognition. However, most research using probabilistic models has focused on formulating the abstract problems behind cognitive tasks and their optimal solutions, rather than considering mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process models that use an...
متن کاملPerforming Bayesian inference with exemplar models
Probabilistic models have recently received much attention as accounts of human cognition. However, previous work has focused on formulating the abstract problems behind cognitive tasks and their probabilistic solutions, rather than considering mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process models that use an inventory of stored ...
متن کاملBayesian Inference for Spatial Beta Generalized Linear Mixed Models
In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model has been introduced to analyze such observations. A beta distribution represents a flexible density family on (0, 1) interval that covers symm...
متن کاملPerforming Decision-Theoretic Inference in Bayesian Network Ensemble Models
Bayesian networks are a popular and powerful tool in artificial intelligence. In certain circumstances, rather than using a single network, ’metamodels’ are constructed and inference proceeds using a (fitness-)weighted average of the individual networks. Individual networks can be extended for use in decision theoretic applications. The point of this paper is to explain how to generalize a comm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2010
ISSN: 1069-9384,1531-5320
DOI: 10.3758/pbr.17.4.443