The Nonparametric Inference for Complex Data and its Applications (NICDA) research group is formed by members of the Department of Statistics of Universidad Carlos III de Madrid. Its research focus is on nonparametric, mathematical, and computational statistics, with particular emphasis on the analysis of complex data with geometric structure, spatio-temporal dependence, or incomplete information.
Diego Serrano has obtained the competitive PhD grant “PIPF Programa “Inteligencia Artificial”” from the 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 the 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 at 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.