Mathematical Statistics: Spatial Statistics with Image Analysis

Education facts

Code: MASM25

<p>How do we build models for spatial data?</p><p>Bayesian methods for stochastic modelling, classification and reconstruction. Random fields, Gaussian random fields, Kriging, Markov fields, Gaussian Markov random fields, non-Gaussian observations. Covariance functions, multivariate techniques. Simulation methods for stochastic inference (MCMC, etc.). Applications in climate, environmental statistics, remote sensing, and spatial statistics.</p>

Entry requirements

For admission to the course knowledge equivalent to at least one of the courses MASC13, Markov processes, 7.5 credits or MASC14, Stationary Stochastic processes, 7.5 credits are required together with English B.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Mathematical Statistics: Spatial Statistics with Image Analysis

  Lund University

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %