Projects
Statistical learning as a broad learning device Ghent University
The research project targets the ability to extract regularities from sensory input to account for the variance in a range of cognitive skills, across different developmental stages. The project will examine the learning of statistical regularities through ecologically valid settings, and over different time scales. By studying both the extraction and long-term retention of regularities in different domains (e.g., reading, visual search, ...
PHD POSITION IN DATA ANALYTICS AND STATISTICAL MODELING KU Leuven
In many research fields data dimension reduction techniques are widely used. Fields such as chemometrics, signal processing, and video compression, try to deal with these issues with tools that transform high-dimensional data to lower dimensions where the meaningful properties of the data are retained. Principal Component Analysis (PCA) is a widely used tool for dimension reduction. However, it is known that PCA is not robust against ...
A study of correct statistical inference after model selection took place KU Leuven
Classical methods for inference in statistics assume that a model is given before looking at the data and that this model perfectly describes how the data were generated. Statistical practice proceeds in another fashion: the data are used, either visually via plots, and/or by fitting several models, performing variables selection, model selection or regularization to arrive at one or more plausible models. Those selected models are then used ...
Sabbatical Eva Ceulemans: Online detection of depressive episodes through statistical proces control KU Leuven
Depression has a major impact on all aspects of life and must therefore be done early
may be detected to prevent worse. Although more and more researchers use
mobile phones collect information about fluctuations in emotions and sleep, and demonstrate this
these changes are predictive of depression, there are currently no good ones
statistical methods are available to monitor this information online and prospectively ...
Statistical methods for estimation of protein abundance based on peptide-centric mass-spectrometry data. Hasselt University
Modernizing clinical neuropsychology through advanced statistical and psychometric methods KU Leuven
Statistical methods for the estimation of age- and time-dependent epidemiological malaria parameters and the analysis of social network data as a novel approach to design malaria elimination strategies. University of Antwerp
Pattern recognition on statistical manifolds with applications in nuclear fusion science Ghent University
Many phenomena in fusion plasmas exhibit stochasticity, such as fluctuations due to turbulent transport of heat and particles, characteristics of plasma instabilities, etc. Inference of physical quantities and model parameters needs to account for additional sources of uncertainty due to measurement error and model uncertainty. In the face of these various levels of uncertainty, a probabilistic approach for analyzing the data is appropriate. ...