PSYCH 216A: Matlab Tutorial No. 6 - Model Reliability

Franco Pestilli & Jason Yeatman

Lecture Notes


Previous lectures have covered how to specify a model, fit a model and test the accuracy of a model. This tutorial will focus on using bootstrapping to quantify the reliability of the parameter estimates of our model. By reliability we essentially mean putting error bars on the parameter estimates. In tutorial 1 we used bootstrapping to put error bars on estimates of the mean and median. In tutorial 2 we used bootstrapping to put error bars on correlation coefficients. We will now see that this same principal can be extended to just about any other type of model.

Further Information:

Video coming soon…

Created: Friday, September 27th, 2013