Kriging: from geostatistics to machine learning
Seminar stochastics at the University of Bern, weekly sessions starting on February 24th 2011
Session 1: introductory lecture (February 24th)
Beamer presentation on Kriging, from geostatistics to machine learning.
Slides session 1 (version without pauses)
Session 2: mathematical background, first part (March 3rd)
Blackboard presentation on Gaussian vectors and prediction.
Session 3: mathematical background, second part (March 17th)
Blackboard presentation by Ilya Molchanov on spectral decompositions.
Session 4: from the linear model to GP regression (April 7th)
Beamer presentation on Gaussian Process Regression, by Brigitte Tschanz.
Session 5: application of GP in Point Process Intensity Estimation (April 14th)
Blackboard presentation by Dominic Schuhmacher.
Handouts not available yet
Session 6: Basics of GP Classification and application(s) (April 21st)
Beamer presentation by Niki Zumbrunnen.
Session 7: approximation methods for large datasets (April 28th)
Beamer presentation by Clément Chevalier.
Slides not available yet
Session 8: covariance functions and model selection (Mai 5th)
Beamer presentation by Reinhard Hanselka Jr.
Slides not available yet