I started the workshop off with a tutorial on permutation testing aimed at introducing issues particularly relevant for MVPA (and neuroimaging datasets in general). I'll eventually post a version of the slides, but some of the material is already available in more detail in two PRNI conference papers:
- Etzel, J.A. 2015. MVPA Permutation Schemes: Permutation Testing for the Group Level. 5th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015). Stanford, CA, USA. In press, full text here, and in ResearchGate.
- Etzel, J.A., Braver, T.S., 2013. MVPA Permutation Schemes: Permutation Testing in the Land of Cross-Validation. 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013). IEEE, Philadelphia, PA, USA. DOI:10.1109/PRNI.2013.44. Full text here, and in ResearchGate.
Then, Nikolaus Kriegeskorte gave a talk entitled "Inference on computational models from predictions of representational geometries", the slides for which are available here.
Finally, Yaroslav Halchenko finished the session with a talk giving an "Overview of statistical evaluation techniques adopted by publicly available MVPA toolboxes", the slides for which are available here.