Antonio Elías
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Contents

  • Journal articles
Categories
All (10)
Aneurism (1)
COVID (1)
Functional magnetic resonance imaging (1)
Generalized Linear Models (1)
Imputation (1)
NOx emissions (1)
Smarmeters (1)
age-specific mortality curves (1)
boxplot (1)
classification (2)
clustering (1)
depth measures (4)
electricity demand (1)
energy market (1)
forecasting (2)
functional data (1)
functional depth measures (2)
functional time series (1)
nearest neighbors (3)
outlier (1)
outlier detection (4)
partially observed (2)
prediction (2)
solar energy (1)
supply curves (1)
temperatures (1)
visualization (1)
voltage (1)

Journal articles

  • Antonio Elías, Stanislav Nagy (2024), "Statistical properties of partially observed integrated functional depths", TEST , doi: https://doi.org/10.1007/s11749-024-00954-6

    functional depth measures
    partially observed
    Bias and consistency
    • Full details »
    • Final version
    • Code
  • Stanislav Nagy, Tomás Mrkvicka, Antonio Elías (2024), "Which depth to use to construct functional boxplots?", arXiv , link: arXiv:2409.18603v1

    functional depth measures
    boxplot
    visualization
    outlier
    Desirable properties of a functional boxplot
    • Full details »
    • Preprint
  • 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.2024.109977

    forecasting
    clustering
    supply curves
    energy market
    Forecasting and clustering stepwise curves
    • Full details »
    • Final version
  • 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: 10.1080/08982112.2022.2135009

    depth measures
    outlier detection
    Smarmeters
    voltage
    solar energy
    Outlier detection with fined-grained long time series
    • Full details »
    • Final version
    • Code
  • Antonio Elías, Raúl Jiménez, Anna M Paganoni, Laura M Sangalli (2023), "Integrated depths for partially observed functional data", Journal of Computational & Graphical Statistics , doi: 10.1080/10618600.2022.2070171

    depth measures
    partially observed
    Aneurism
    classification
    outlier detection
    Functional depth for partially observed data
    • Full details »
    • Final version
    • Code
  • Antonio Elías, Raúl Jiménez and Hanlin Shang (2022), "Depth-based reconstruction method for incomplete functional data", Computational Statistics , doi: 10.1007/s00180-022-01282-9

    Imputation
    prediction
    nearest neighbors
    depth measures
    age-specific mortality curves
    temperatures
    Data-driven reconstruction of missing curve fragments
    • Full details »
    • Final version
    • Code
  • Antonio Elías, Raúl Jiménez and Joe YUkich (2023), "Localization processes for functional data analysis", Advances in Data Analysis and Classification , doi: 10.1007/s11634-022-00512-8

    prediction
    functional data
    nearest neighbors
    classification
    outlier detection
    Functional Nearest Neighbors
    • Full details »
    • Final version
    • Code
  • 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.2021.104890

    forecasting
    functional time series
    nearest neighbors
    depth measures
    electricity demand
    NOx emissions
    Automatic forecasting method
    • Full details »
    • Final version
    • Code
  • 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.0264265

    Generalized Linear Models
    COVID
    Lockdown impacts on the research productivity
    • Full details »
    • Final version
    • Code
  • 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.9342

    Functional magnetic resonance imaging
    outlier detection
    Outlying brain activity
    • Full details »
    • Final version
    • Code
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2024 Antonio Elías
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