This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Lund University
Mathematical Statistics: Statistical Modelling of Extreme Values
<p>How big waves and how strong winds to we need to worry about? An introduction to the theory of extreme events.</p><p>Extreme value theory concerns mathematical modelling of extreme events. Recent developments have introduced very flexible and theoretically well motivated semi-parametric models for extreme values…
- Higher education
- Information unavailable
- 29 March 2027
- Lund
- Information unavailable
- 50 %
Overview
<p>How big waves and how strong winds to we need to worry about? An introduction to the theory of extreme events.</p><p>Extreme value theory concerns mathematical modelling of extreme events. Recent developments have introduced very flexible and theoretically well motivated semi-parametric models for extreme values which now are at the stage where they can be used to address important technological problems on handling risks in areas such as wind engineering, hydrology, flood monitoring and prediction, climatic changes, structural reliability, corrosion modelling, and large insurance claims or large fluctuations in financial data (volatility).</p> <p>The course will give an overview of a number of different topics in modern extreme value theory including the following topics: * Statistical methods for extremal events, * Some examples of application of the theory in large insurance claims due to windstorms, flood monitoring and pit corrosion, * Exercises on detailed ``step-by-step'' use of extreme value modelling, and * Discussion of some open problems in the field.</p><p>https://www.maths.lu.se/english/education/all-courses/courses-faculty-of-science/</p>
Admission scores
Entry requirements
Knowledge corresponding to MASA01 Mathematical Statistics: Basic Course, 15 ECTS credits, and MASC01 Mathematical Statistics: Probability Theory, 7.5 ECTS credits. English 6/English Course B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-03-29
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.masm15.52952.20271
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.masm15.52952.20271
- Offering identity in the source
- e.uoh.lu.masm15.52952.20271
- Education-form source code
- HS
- Education code in the source
- MASM15
- Change time according to the source
- 2026-08-03T13:16:04
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.