Latest News
The paper “A family of toroidal diffusions with exact likelihood inference”, coauthored by Eduardo García-Portugués and Michael Sørensen, has been accepted for publication in the renowned Biometrika! The preprint can be checked on the arXiv.
Diego Serrano has obtained the first award in the Thesis Talk 2025 contest organized by Universidad Carlos III de Madrid. The Thesis Talk is a challenging competition for PhD students to present their research in a 4-minute talk to a general audience, with the goal of making complex topics accessible and engaging.
The paper “Kernel density estimation for polyspherical data and its applications”, coauthored by Eduardo García-Portugués and Andrea Meilán-Vila, has been accepted for publication in the renowned Journal of the American Statistical Association! The preprint can be checked on the arXiv.
Diego Serrano has obtained the competitive PhD grant “PIPF Programa “Inteligencia Artificial”” from Universidad Carlos III de Madrid.
Andrea Meilán-Vila has been promoted to Senior Assistant Professor (Personal Investigador Doctor)! The promotion was achieved from the public call announced by UC3M’s Resolution of November 5, 2024.
Paul Axmann joins NICDA through a PhD grant within the ‘Stein-based goodness-of-fit TEsts for Non-Euclidean Data’ (STENED) project! Paul will officially start his PhD at the Department of Mathematics of Karlsruhe Institute for Technology in February 2025.
Vinícius Litvinoff joins NICDA through a PhD grant within the ‘Stein-based goodness-of-fit TEsts for Non-Euclidean Data’ (STENED) project! Vinícius will officially start his PhD in Statistics for Data Science at Universidad Carlos III de Madrid in February 2025.
The NICDA group will be having a Statistics Reading Group to read and discuss technical books in Statistics and Probability. The first book we will read is Anirban DasGupta’s Probability for Statistics and Machine Learning. This reference book of 20 chapters and 784 pages gives a great overview of fundamental and modern probability methodology that is key for statistical inference. Therefore, it is a great resource for PhD students and researchers in Statistics.
