Nonparametric Inference for Complex Data and its Applications

The Nonparametric Inference for Complex Data and its Applications (NICDA) research group is formed by members of the Department of Statistics of Carlos III University of 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.

Latest News

Two open PhD positions in Mathematical Statistics with non-Euclidean data

The ‘Stein-based goodness-of-fit TEsts for Non-Euclidean Data’ (STENED) project seeks to hire two fully-funded PhD fellows expected to start in January 2025 (preferably) or June 2025 at the latest. Application deadline on 15 November 2024.

Eduardo García-Portugués, Bruno Ebner

October 5, 2024

Project "Stein-based goodness-of-fit TEsts for Non-Euclidean Data" (STENED) gets funded

The project STENED, co-led by Eduardo García-Portugués and Bruno Ebner has been funded through the “AEI-DFG Call for Joint Spanish-German Research Projects”. The project is jointly participated by the Karlsruhe Institute for Technology and Universidad Carlos III de Madrid. Andrea Meilán-Vila and Alberto Fernández-de-Marcos also participate in STENED.

Eduardo García-Portugués, Bruno Ebner, Andrea Meilán-Vila, Alberto Fernández-de-Marcos

October 3, 2024

Alberto Fernández-de-Marcos obtains a PhD grant from the Community of Madrid

Alberto Fernández-de-Marcos obtained in May 2024 the competitive PhD grant “Ayudas de personal investigador predoctoral en formación 2023” by the Community of Madrid. Alberto switched to a full-time PhD in October 2024, joining NICDA.

Alberto Fernández-de-Marcos, Eduardo García-Portugués

October 1, 2024

Recent & Upcoming Events

Statistics Reading Club – Session 2

In the next session of the “Statistics Reading Group” we will finish Chapter 1 and aim to cover Chapter 2, Multivariate Discrete Distributions, of Probability for Statistics and Machine Learning.

November 21, 2024 15:00 — 17:00 Room 7.3.J08, Juan Benet Building

Eduardo García-Portugués, Alberto Fernández-de-Marcos, Andrea Meilán-Vila, Rebeca Peláez, Diego Serrano Ortega, Iñaki Úcar

Statistics Reading Club – Session 2

Launch of the Statistics Reading Club

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. For the first session, we will start with the basics and target Chapter 1, Review of Univariate Probability. Everyone interested is welcome to join!

November 14, 2024 15:00 — 16:30 Room 7.3.J08, Juan Benet Building

Eduardo García-Portugués, Alberto Fernández-de-Marcos, Andrea Meilán-Vila, Rebeca Peláez, Diego Serrano Ortega, Iñaki Úcar

Launch of the Statistics Reading Club

Members

Researchers

Eduardo García-Portugués

Group Head
Associate Professor

Pedro Galeano

Associate Professor

Andrea Meilán-Vila

Assistant Professor

Silvia Novo

Assistant Professor

Rebeca Peláez

Assistant Professor

Ewa Strzalkowska-Kominiak

Associate Professor

Iñaki Úcar

Assistant Professor

External Researchers

José E. Chacón

Full Professor

Bruno Ebner

Senior Research Fellow

Thomas Verdebout

Full Professor

PhD Candidates

Alberto Fernández-de-Marcos

PhD Candidate

Diego Serrano Ortega

PhD Candidate

Latest Publications

A. Azze, B. D'Auria, Eduardo García-Portugués (2025). Optimal stopping of Gauss–Markov bridges. Advances in Applied Probability.

Eduardo García-Portugués, M. Sørensen (2024). A family of toroidal diffusions with exact likelihood inference. arXiv preprint arXiv:2409.02705.

M. Cuparić, Bruno Ebner, B. Milošević (2024). A new flexible class of kernel-based tests of independence. arXiv preprint arXiv:2401.11540.

Alberto Fernández-de-Marcos, Eduardo García-Portugués (2024). A stereographic test of spherical uniformity. Statistics & Probability Letters.

Bruno Ebner, N. Henze, S. Meintanis (2024). A unified approach to goodness-of-fit testing for spherical and hyperspherical data. Statistical Papers.

L. Marra, G. Y. Maceda Cornejo, Andrea Meilán-Vila, V. Guerrero, S. Rashwan, B. R. Noack, S. Discetti, A. Ianiro (2024). Actuation manifold from snapshot data. Journal of Fluid Mechanics.

José E. Chacón, J. Fernández Serrano (2024). Bayesian taut splines for estimating the number of modes. Computational Statistics & Data Analysis.

Rebeca Peláez, G. Aneiros, J. M. Vilar (2024). Bootstrap prediction regions for daily curves of electricity demand and price using functional data. International Journal of Electrical Power & Energy Systems.

Bruno Ebner, L. Eid, B. Klar (2024). Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution. Statistical Papers.

Pedro Galeano, D. Peña (2024). Detecting outliers in high dimensional time series by dynamic factor models. Recent Advances in Econometrics and Statistics.

See all publications

Contact

Avenida de la Universidad, 30, Leganés, 28911, Spain
Building 7 – Juan Benet