Journal articles
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Stanislav Nagy, Tomás Mrkvicka, Antonio Elías (2024), "Which depth to use to construct functional boxplots?", arXiv , link:
arXiv:2409.18603v1Desirable properties of a functional boxplot -
Zehang Li, Andrés Alonso, Juan Miguel Morales, Antonio Elías (2024), "Clustering and forecasting of day-ahead electricity supply curves using a market-based distance", International Journal of Electrical Power & Energy Systems, doi:
10.1016/j.ijepes.2024.109977Forecasting and clustering stepwise curves -
Antonio Elías, Juan M. Morales, Salvador Pineda (2023), "A high dimensional functional time series approach to evolution outlier detection for grouped smart meters", Quality Engineering , doi:
10.1080/08982112.2022.2135009Outlier detection with fined-grained long time series -
Antonio Elías, Raúl Jiménez, Anna M Paganoni, Laura M Sangalli (2023), "Integrated depths for partially observed functional data", Journal of Computational & Graphical Statistics , doi:
10.1080/10618600.2022.2070171Functional depth for partially observed data -
Antonio Elías, Raúl Jiménez and Hanlin Shang (2022), "Depth-based reconstruction method for incomplete functional data", Computational Statistics , doi:
10.1007/s00180-022-01282-9Data-driven reconstruction of missing curve fragments -
Antonio Elías, Raúl Jiménez and Joe YUkich (2023), "Localization processes for functional data analysis", Advances in Data Analysis and Classification , doi:
10.1007/s11634-022-00512-8Functional Nearest Neighbors -
Antonio Elías, Raúl Jiménez and Hanlin Shang (2022), "On projection methods for functional time series forecasting", Journal of Multivariate Statistics , doi:
10.1016/j.jmva.2021.104890Automatic forecasting method -
Iñaki Úcar, Margarita Torre, Antonio Elías (2022), "Mind the gender gap: COVID-19 lockdown effects on gender differences in preprint submissions", Plos one , doi:
10.1371/journal.pone.0264265Lockdown impacts on the research productivity -
Yasser Alemán-Gómez, Ana Arribas-Gil, Manuel Desco, Antonio Elías, Juan Romo (2022), "Depthgram: Visualizing outliers in high-dimensional functional data with application to fMRI data exploration", Statistics in Medicine , doi:
10.1002/sim.9342Outlying brain activity