Lecturer: Vaclav SmidlLesson 1: Review of probability and trivial modelsPdf presentationLesson 2: Prior and Approximate posteriorsPdf presentationLesson 3: Monte Carlo MethodsPdf presentationLesson 4: Linear RegressionPdf presentationETEX experimentLesson 5: Blind Source SeparationPdf presentationToy problemLesson 6: Mixture ModelsPdf presentationPatlak plot analysisLesson 7: Mixture of RegressorsPdf presentationPatlak plot EMDirichlet samplerLesson 8: Bayesian FilteringPdf presentationLesson 9: Bayesian FilteringPdf presentationData for force estimationScript kalman.mDemo of sine wave exampleLesson 10: Bayesian Non-linear regressionPdf presentationData for toy network Submitted by smidl on Tue, 04/02/2019 - 21:56