8
votes
1answer
2k views

What are the real life applications for Probability Learning?

Probability learning is a principle that states probability of a response tends to match the probability of the reinforcement. How does one achieve such rationality under uncertainty? What are ...
7
votes
0answers
77 views

Are there any models of the human visual field of view taking into account head, neck and eye movements and calculating likelihood of fixation?

I would like to know if there are studies that (1) model the field of view taking into account all degrees of freedom of the head, neck and eyes and (2) if there is any probabilistic model assigned to ...
2
votes
2answers
276 views

How to adjust SSE or RMSE for the number of free parameters in the model?

How do I adjust SSE (sum of squared errors) or RMSE (root-mean-square errors) for the number of free parameters in the model? Is there an "adjusted" RMSD metric similar to the adjusted r-squared ...
7
votes
2answers
263 views

Best practice to handle double negatives when using the expectancy-value model?

My question is regarding the multiplicative combination rule in the Expectancy-value model developed by Fishbein and Ajzen, and the issues regarding the expectancy value-muddle, or the case of "double ...
7
votes
3answers
410 views

Introductory resources on bayesian modeling for cognitive sciences

On Cross Validated there is a great question about best introductory books for bayesian statistics. Also, Jeromy Anglim blogged recently about use of JAGS, rjags, and Bayesian Modelling, with some ...