Statistics and Risk Management Seminar

Department of Mathematics, NOVA MATH/FCT NOVA

~ PhD Program in Mathematics Seminars ~

Title: Statistical disclosure control and quality evaluation of synthetic data generated by non-parametric methods

Speaker: Vítor Augusto, PDM & NOVA Math

Date | Time: March 12, 2025 | 14h30
Place: FCT NOVA, VII-Second Floor, Lab. 2.2

Abstract: This PhD aims to continue the work in statistical disclosure control by improving the quality of synthetic data generated through non-parametric methods (such as GAN or CART). To achieve this, it will be necessary to extend existing exact inferential procedures for data generated by single imputation to cases of multiple imputation, perform the computational refinement of the degrees of freedom defined in asymptotic inferential procedures for vectors used in their adaptation to matrix inference, and adapt GAN methods for generating partially or completely synthetic data for a sequence of sensitive variables describing a profile. Finally, simulations will be carried out, along with the application to a real database.

Bio:  Vítor Augusto is a PhD student in Mathematics with a specialization in Statistics and Risk Management at NOVA School of Science and Technology. He also completed his Bachelor's degree in Mathematics and his Master's in Mathematics and Applications, specializing in Actuarial Science, Statistics, and Operational Research at the same institution. Professionally, before starting his PhD, he worked as a Maths teacher in elementary and high schools.

Organizers: Isabel Natário & Mina Norouzirad & Rui Cardoso

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This work is funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications)