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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.

Coming Sessions

HT2

Finished Sessions

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

CEQ - Spatial statistics with image analysis,

Questions: webmaster
Last update: 2013-04-10

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