Mathematical Statistics: Spatial Statistics with Image Analysis

The course gives you tools to analyze high-dimensional data, especially in image analysis and spatial statistics. Learn how to build and interpret statistical models with a focus on Bayesian methods, which are used to understand and predict variation in natural phenomena. Topics include stochastic fields, Gaussian Markov fields, Kriging, and simulation methods like MCMC. You will also explore real-world applications in climate research, environmental statistics, remote sensing, and spatial analysis.

This course is elective in some specializations within the Bachelor’s or Master’s programmes in Natural Sciences at Lund University. It can also be taken as a stand-alone course. The teaching is in English.

Teaching includes lectures, exercises, lab sessions, and project work. Labs and projects are mandatory and integrated with other parts of the course. Practice proposing and analyzing statistical models independently, and you will implement your own computer programs to solve statistical problems. The course ends with both written and oral project presentations.

Assessment is based on project reports and presentations. To pass, you must complete all mandatory components and receive a passing grade on the project. The grade on the project gives the final grade.

Prerequisites

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.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

• The European Union (EU)
• The European Economic Area (EEA) and
• Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 23,125
First payment: SEK 23,125

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Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.