News
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Statistics@SLU seminar: Geographically weighted regression model – identifying spatially differentiated relationships and trends
Geographically Weighted Regression (GWR) is a spatial statistical technique to model spatially varying relationships between variables. -
New consultants at Statistics@SLU
Statistics@SLU has welcomed two new consultants during the last year, associate professor Reza Belaghi at the Department of Energy and Technology in Uppsala and Dr. Wilmer Prentius at the Department of Forest Resource Management in Umeå. -
Statistics@SLU workshops, spring 2024: Questionnaire surveys, advanced regression and GLMM
The center of statistics, Statistics@SLU, invites to three workshops during spring 2024. -
Introduction to Machine Learning in Natural Science: Modeling and Applications
In this workshop, lead by Reza Belaghi, we will explore the application of state-of-the-art machine learning models in the field of natural science, using real-world examples and various data sets. Our goal is to equip participants with the necessary knowledge and skills to apply machine learning in their research and scientific papers, and applications (whenever is needed). -
Statistics@SLU seminar: Analysing network data that are partially observed
Johan Koskinen is a Lecturer in Statistics at Stockholms universitet. His main research interests centre on statistical modelling and Bayesian inference for networks.