Kriging, spline interpolation or smoothing, and the support vector machines in machine learning -- all these techniques describe the same approach to the data prediction and are based on positive definite functions, which are called kernels or covariance functions. Higher dimensional kernels play a crucial role in agricultural and life sciences, in particular, in statistical genetics and spatio-temporal modelling. This prospering area is driven by both, new theoretical insight and new fields of application. The goal of this workshop is to bring together scientists and practitioners from agriculture, life sciences and statistics to promote these methods and to improve synergies.

Workshop topics include:

• Animal breeding
• Statistical genetics
• Biostatistics
• Geostatistics
• Semi-parametric regression
• Reproducing kernel Hilbert spaces

Local Organizing Committee:

  Tatyana Krivobokova, Emilio Porcu,  Martin Schlather  and Henner Simianer   with help by Ute Döring

Registration: 

Information will be available soon. There will be a small conference fee of 40 euros to cover the expenses, payable at the conference desk. Please register for the conference until May 15, 2009 using the following e-mail address:

Ute Döring (tierzucht@agr.uni-goettingen.de)
Georg-August-Universität Göttingen
Department für Nutztierwissenschaften
Abt. Tierzucht und Haustiergenetik
Albrecht-Thaer-Weg 3
37075 Göttingen
++49 551 39 12448

Please indicate name, address, email, talk/poster intended, vegetarian food.

Contributions:

There will be a possibility to present talks and posters.
Participants should  indicate this in their registration
and provide a title and an abstract until May 15, 2009.

Sponsored by

Graduiertenkolleg “Identification in Mathematical Models: Synergy of Stochastic and Numerical Methods” (DFG)