Spatial statistics with image analysis,
Official Course Description
LTH Course Description (SV) NF Course Description (SV) LTH Course Description (EN)Description
Bayesian methods for stochastic modelling, classification and reconstruction. Random fields, Gaussian random fields, Kriging, Markov fields, Gaussian Markov random fields, non-Gaussian observationer. Covariance functions, multivariate techniques. Simulation methods for stochastic inference (MCMC, etc.). Applications in climate, environmental statistics, remote sensing, and spatial statistics.
Current Sessions
HT1 : Stand-alone Courses , Information and Communication Engineering Technologies , Computer Science and Engineering , Electrical Engineering , Engineering Physics , Industrial Engineering and Management , Master's Programme in Mathematics , Master's Program in Mathematical Statistics , Engineering Mathematics
Questions: webmaster
Last update: 2012-05-24
Course Information
| LTH Code: | FMSN20 |
| NF Code: | MASM25 |
| Credits: | 7.5 |
| Level: | Advanced Level |
| Language: | English |
Prerequisites
Markov Processes (Alt Mandatory)
Stationary stochastic processes (Alt Mandatory)
Image Analysis (Alt Mandatory)
CEQ
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)