subject |
Random field analysis
|
lecturers |
Dr. Matyasovszky István, associate professor |
credits |
2+1=3 |
period |
4 |
curriculum |
Nonparametric
estimation of probability distributions. Nonparametric estimation of trends.
Principal component analysis and factor analysis. Independent component
analysis. Nonlinear principal component analysis. Canonical correlation
analysis. Concept of random fields. Traditional interpolation techniques.
Interpolation with krigings. Multivariate AR
models. |
literature |
Parts of problem books, scientific papers |
form
of tuition |
lectures, practical exercises |
mode
of assessment |
oral exam, written practice exam |