Antonio Elías

Antonio Elías

Postdoctoral researcher

OASYS Group

Universidad de Málaga

Hello!

I am postdoctoral researcher at OASYS group, Department of Applied Mathematics at Universidad de Málaga.

In 2020, I got my PhD from the Department of Statistics at Universidad Carlos III de Madrid with the dissertation “Depth-based methods for Functional Data Analysis”. During my doctoral period, I had the pleasure to be a visiting researcher at Mox Laboratory of the Politecnico di Milano and at the College of Business and Economics of the Australian National University.

I strongly believe in the need to create bridges between theoretical statistical research and the great challenges of today's society. Currently, I am focused on developing open source methodologies to effectively take advantage of Smart Meter Devices to achieve more efficient, secure and sustainable energy systems.

Interests

  • Functional data
  • Time Series
  • Spatio-temporal data
  • Visualization

Education

  • PhD in Statistics, 2020

    Universidad Carlos III de Madrid

  • MSc in Quantitative Methods

  • BSc in Economics

Skills

Independent Learner

Team Player

Adaptability

Application-oriented Research

Programming

R and Python

Analytics

Posts

Are the groups of Japanese age-specific mortality by prefecture static?

The following video shows a descriptive exercise that aims to answer the following question: are the clusters of Japanese age-specific mortality by prefecture static?
Last updated on May 1, 2020 1 min read R

An introduction to Shiny II

This is a second session introducing Shiny for the Coding Club UC3M. Shiny is an R package that allows to develop interactive Apps in a familiar framework for regular R-users. During the first session we focused on the structure and workflow basics, and now, we will go further on input and output objects, reactivity, layouts and data handling. All these functionalities will be reviewed by product of developing a Shiny App.
Last updated on May 1, 2020 14 min read R
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Publications

Filter the list of publications.
Antonio Elías, S. Pineda, J. M. Morales (2021). Depth-based outlier detection for grouped smart meters: a functional data analysis toolbox.

arXiv Code

Antonio Elías, Raúl Jiménez, Hanlin Shang (2021). On projection methods for functional time series forecasting.

arXiv Code

Antonio Elías, Raúl Jiménez, Joe Yukich (2021). Localization Processes for Functional Data.

arXiv Code

Antonio Elías, Raúl Jiménez, Anna M. Paganoni, Laura M. Sangalli (2020). Integrated depth for partially observed functional data.

Code

Y. Aleman-Gomez, A. Arribas-Gil, M. Desco, Antonio Elías, J. Romo (2020). Visualizing outliers in high dimensional functional data for task fMRI data exploration.

arXiv Code

See all publications

Projects

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All Statistics Open Science Teaching

Case studies

Coding Club UC3M

Functional Data Analysis

Repositories

Smart Meters

Contact