Rate My Professor Filipe Marques

Filipe Marques is an Associate Professor in the Mathematics Department at the Faculty of Sciences and Technology (FCT NOVA), Universidade NOVA de Lisboa. He earned his Doctorate in Mathematics with a specialty in Statistics from Universidade NOVA de Lisboa in 2007, with a thesis entitled "Near-exact Distributions for Likelihood Ratio Test Statistics." As an integrated PhD member of the Centre for Mathematics and Applications (CMA), Marques belongs to the Statistics and Risk Management research group. His research specializations include distribution theory and applications, near-exact and asymptotic approximations, computational statistics, and educational mathematics. He coordinates the Knowledge Transfer and Societal Impact Functional Area at NOVA Math, enhancing the bridge between academia and industry.

In February 2025, Marques was elected President of the Portuguese Network of Mathematics for Industry and Innovation (PT-MATHS-IN), the Portuguese branch of EU-MATHS-IN, which unites leading mathematical research centers to promote technology transfer to business and industry. His scholarly contributions focus on developing near-exact distributions for likelihood ratio test statistics in multivariate analysis, particularly for testing covariance structures such as sphericity, independence, and hyper-block matrices. Key publications include "Likelihood Ratio Test for the Hyper-Block Matrix Sphericity Covariance Structure: Characterization of the Exact Distribution and Development of Near-Exact Distributions" (2018, with B.R. Correia and C.A. Coelho; 158 citations), "A general near-exact distribution theory for the most common likelihood ratio test statistics used in Multivariate Analysis" (2011, with C.A. Coelho and B.C. Arnold; 73 citations), and "Near-exact distributions for the sphericity likelihood ratio test statistic" (2008, with C.A. Coelho; 40 citations). Recent works encompass "Testing the hypothesis of a nested block covariance matrix structure with applications to medicine and natural sciences" (2025, with C.A. Coelho and M. Norouzirad) and "Subspace-Restricted Elastic Net Estimation: Applications in Medical Data" (2025). With hundreds of citations, his work has influenced statistical methodology in hypothesis testing across applied sciences.