University of Cambridge > > Machine Learning Reading Group @ CUED > Statistical model criticism

Statistical model criticism

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Konstantina Palla.

Statistical analyses rely upon assumptions. When these assumptions are not met we may draw erroneous inferences. Statistical model criticism / checking procedures attempt to test these assumptions and give insight into how a statistical model might be expanded to better capture aspects of the data. I will discuss classical diagnostics for linear regression, Bayesian model criticism procedures and some advanced methods.

This talk is part of the Machine Learning Reading Group @ CUED series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity