Information about Test

  1. Mental model

    Oaksford, M. and Chater, N. (2007) Bayesian Rationality. Oxford University Press Johnson-Laird, P.N. (1983). Mental Models: Towards a Cognitive Science of

  2. Michael Keane (economist)

    University Press, (1999), 49–78. Bayesian Inference for Dynamic Discrete Choice Models without the Need for Dynamic Programming, (with John Geweke), in Simulation

  3. Knowledge representation and reasoning

    entity-relation modeling and to object properties in object-oriented modeling. Another technique for primitives is to define languages that are modeled after First

  4. Silvia Ferrari

    Mathematics. S. Ferrari, and A. Vaghi. "Demining sensor modeling and feature-level fusion by Bayesian networks". IEEE Xplore. Silvia Ferrari, and Mark Jensenius

  5. Factor analysis

    associated with specific factors. CFA uses structural equation modeling to test a measurement model whereby loading on the factors allows for evaluation of relationships

  6. Artificial grammar learning

    likely to be correct. Due to the structure of the Bayesian model, the inferences output by the model are in the form of a probability distribution rather

  7. Steve Omohundro

    where he led the development of the open source programming language Sather. Sather is featured in O'Reilly's History of Programming Languages poster

  8. Karl J. Friston

    maximisation (DEM), which are Variational Bayesian methods for time-series analysis. Friston currently works on models of functional integration in the human

  9. Adaptive clinical trial

    the most appropriate treatment (or Arm in the Multi-Armed Bandit model) The Bayesian framework Continuous Individualized Risk Index which is based on

  10. Cognitive tutor

    the cognitive tutor uses a simple Bayesian method of evaluating the student's knowledge and uses this student model to select appropriate problems for