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GMAT and GRE aptitude tests

We do not require aptitude tests such as GMAT or GRE, but a well-balanced GMAT or GRE score may strengthen your application to the Master's programmes listed below. The GMAT® ExamThe Graduate Management Admission Test (GMAT) is used in the admission process by a vast number of business schools. The GMAT doesn't measure business knowledge or skill, nor does it measure intelligence. It is intended t

https://www.lusem.lu.se/study/application-and-admission/gmat-and-gre-aptitude-tests - 2025-04-03

Final year Bachelor's students

QUALIFICATIONS PENDING A Bachelor's degree is a basic admission requirement to our Master's programmes. However, if you are in your final year of undergraduate degree studies, we will still accept your application. This is known as an application with "qualifications pending". You must include with your application an official document stating:that you are registered for the last semester of your

https://www.lusem.lu.se/study/application-and-admission/final-year-bachelors-students - 2025-04-03

History of the Department of Statistics

The department that exists today can be traced back, on the one hand, to the statistical program organised starting in 1889 by Pontus Fahlbeck (1850–1923), who was professor of political science and statistics at Lund University, and on the other hand, to the research done by Professor Carl Charlier (1862–1934), an astronomer with a strong interest in statistics. Charlier, although not formally a

https://www.lusem.lu.se/organisation/department-statistics/about-department-statistics/history-department-statistics - 2025-04-03

Spatial and Temporal Data Analysis

In this field, researchers are focused on tackling challenges related to understanding complex problems that involve both spatial and temporal variations. These issues require advanced techniques to model the simultaneous impact of these variations effectively. The data involved in these studies are often extensive, making traditional analytical methods impractical. Instead, researchers need to cr

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/spatial-and-temporal-data-analysis - 2025-04-03

High-dimensional and Functional Data Analysis

In the realm of Artificial Intelligence (AI), the group is exploring ways to address a critical question: how can we manage multiple tests effectively using less complex methods like lasso, slope, and neural networks (NN)? Specifically, they are investigating techniques to control the False Discovery Rate (FDR) while utilizing NN. This involves the practical development of algorithms for regulariz

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/high-dimensional-and-functional-data-analysis - 2025-04-03

Non-linear and Non-Gaussian Time Series Modeling

The research in this area is concentrated on understanding complex, non-linear stochastic time series, particularly in the context of finance. Researchers focus on statistical methods for these intricate systems and apply them to financial scenarios. Various versions of GARCH-type volatility models are explored to analyze statistical aspects of conditional heteroscedastic models, commonly used in

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/non-linear-and-non-gaussian-time-series-modeling - 2025-04-03

Department of Economic History

About the departmentStudy Economic HistoryDoctoral studiesResearch at the departmentContact us Study Economic History Bachelor's and Master's programmes Bachelor's and Master's programmes Our Research Databases Doctoral studies Upcoming events Link to RSS 8 April 2025 12:00 | Seminar EKH Teachable Third Thursday Seminar - Jonas Kreutzer 9 April 2025 13:15 to 14:30 | Seminar EKH Seminar - John Turn

https://www.lusem.lu.se/organisation/department-economic-history - 2025-04-03

Probabilistic Graph Theory

This area represents one of the most active frontiers in modern probability theory, with applications ranging from studying social networks to developing sophisticated algorithms for probabilistic machine learning and neural networks. The research group focuses on investigating interacting particle systems and various random discrete structures and algorithms. Recent developments in this field inc

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/probabilistic-graph-theory - 2025-04-03