Projects
Easier, better, faster, stronger: developing statistical methods for conducting sample size planning in intensive longitudinal designs KU Leuven
The use of intensive longitudinal studies has skyrocketed in recent years as it allows researchers to investigate within-person psychological dynamic processes. However, intensive longitudinal research lacks an overarching framework to inform researchers on how to optimally design a study. Specifically, a key question that researchers need to address is how to select the sample size to be able to answer research questions and derive reliable ...
Nonequilibrium statistical mechanics of small systems. Hasselt University
Statistical methods for estimating age and time-dependent epidemiological malaria parameters and the analysis of social network data as a new approach to the development of malaria elimination strategies Institute of Tropical Medicine
Statistical methods for estimation of protein abundance based on peptide-centric mass-spectrometry data. Hasselt University
Statistical / stochastic computing. KU Leuven
Although state-of-the-art in many typical machine-learning tasks, deep learning algorithms are very costly in terms of energy consumption, due to their large amount of required computations and huge model sizes. Because of this, deep learning applications on battery constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. ...
Processing of personal data regarding ethnic origin and disability for statistical purposes to combat discrimination. Vrije Universiteit Brussel
The genes of genre: Classifying literary text types using statistical modelling KU Leuven
This project automatically extracts literary text types in the Hebrew Bible (Old Testament) and the Dead Sea Scrolls using quantitative linguistic methods. Its main objective is to critically assess scholarly understandings of genre by explicitly modelling the linguistic dimensions of genre, one of its constitutive elements that resists exhaustive manual quantification. To date, genre typologies are scholarly constructs depending on ...
Robust and sparse statistical methods for actuarial sciences KU Leuven
This PhD thesis consists of two parts and in the first part, we focus on robust statistics. More specifically, we consider robust regression when the response variable follows a distribution in the double exponential family. Hence, by means of a generalized linear model (GLM) based on covariates, we will robustly estimate the expected value as well as the dispersion. The latter itself can be of interest, but taking the dispersion into account ...
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 ...