Projects
ManiFactor: Factor Analysis for Maps into Manifolds KU Leuven
Factor analysis, principal component analysis or singular value decomposition (SVD) of a collection of points in a Euclidean space, which can be represented by a matrix, is a fundamental and omnipresent technique to reveal latent factors in the data. Factor analysis was generalized in psychometrics in the 1960s to data that consists of multiple modes, leading to the nowadays popular canonical polyadic decomposition (CPD) of tensors. Taking ...
ManiFactor: Factor Analysis for Maps into Manifolds KU Leuven
Factor analysis is a data analysis technique that seeks to extract information from matrices and tensors through various low-rank decompositions. Such matrices and tensors can also be interpreted as multilinear functions. In this interpretation, factor analysis can be seen as a way to approximate functions by other functions that are much more effcient to evaluate. The project will extend factor analysis to functions between manifolds, which ...
Mixture simultaneous factor analysis for modeling multivariate multilevel data. KU Leuven
Many studies in the behavioral sciences yield multivariate multilevel data. Such data consist of multiple data blocks that all involve the same set of variables. A few examples are personality measures of inhabitants from different countries and data on the emotions that individuals experience over time. The associated research questions often pertain to the underlying correlation structure (which dimensions underlie individual differences in ...
ManiFactor: Factor analysis for maps into manifolds KU Leuven
A central topic in data science is constructing a data-driven surrogate
model that approximates an unknown multivariate target function f.
The key goal of a surrogate model is to predict the outputs of the
target function both accurately and efficiently. A practical data-driven
surrogate model of f can be constructed numerically from
approximate input-output pairs by a learning algorithm, is
computationally cheap ...
Risk Factor Knowledge in Medical Sciences. A Philosophical Analysis of Benefits and Potential Dangers Ghent University
We investigate different meanings of the notion risk factor in their relation with the concepts of ācauseā and ādiseaseā. We examine the explanatory power and importance for prevention of risk factor knowledge in its different meanings. We examine whether/when it can be theoretically justified to interpret risk factors as diseases on their own and whether/when this entails disease mongering.
The impact of magnetic particulate matter (mPM) pollution as a contributing factor for development of childhood cancer: an in vitro and in vivo molecular and cellular analysis. Ghent University
Pediatric cancer is rare, yet it is the second leading cause of death in children. The causes of childhood cancer are not yet fully known, but it is believed that both genetic and environmental factors play a role. Recently it became clear that 10% of new diagnoses of childhood cancer can be explained by an underlying genetic predisposition. In addition, environmental factors were also investigated, including high doses of ionizing radiation, ...
Using textual analysis to assess the materiality of risk factor disclosures in company's financial reports KU Leuven
The increasing amount of corporate failures in recent years has spurred organisations to manage their risks more effectively. One approach that has gained prominence during this period is enterprise risk management (ERM), a process designed to identify and control business risks and ensure they are consistent with corporate strategies and risk appetite. Several surveys on ERM practices highlight the CFOās primary role and ownership ...
In vivo structure-function analysis of the atonal transcription factor. KU Leuven
Sectoral versus Aggregate Shocks: a Structural Dynamic Factor Analysis of Inflation KU Leuven
Any modern economy is characterized by an interlinked production architecture in which sectors intimately rely on each other for their input requirements. Such an interlocked network of sectors provides a channel over which inflationary shocks to individual sectors propagate toother sectors in the economy. In this research project we provide a systematic quantification of the role of input-output linkages as a mechanism for propagation and ...