World's Best Scientists 2026 revealed!

Overview

Emilio Porcu is affiliated with Khalifa University in the United Arab Emirates. Their research focuses primarily on Environmental Science, with significant work in related subfields such as Environmental Engineering, Artificial Intelligence, Applied Mathematics, Global and Planetary Change, and Economics and Econometrics.

The main topics covered in Emilio Porcu's research include:

  • Soil Geostatistics and Mapping
  • Spatial and Panel Data Analysis
  • Hydrology and Drought Analysis
  • Remote Sensing and LiDAR Applications
  • Geochemistry and Geologic Mapping
  • Financial Risk and Volatility Modeling
  • Morphological variations and asymmetry

Emilio Porcu has co-authored extensively with several frequent collaborators, including:

  • Xavier Emery
  • Moreno Bevilacqua
  • Alfredo Alegría
  • Tarik Faouzi
  • Ana Paula Perón

They have published in a variety of venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Computational and Applied Mathematics
  • Stochastic Environmental Research and Risk Assessment
  • Electronic Journal of Statistics
  • Spatial Statistics

Recent selected papers authored or co-authored by Emilio Porcu include:

  • "30 Years of space-time covariance functions," 2020, Wiley Interdisciplinary Reviews Computational Statistics
  • "The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning," 2024, Statistical Science

Additional related works from frequent collaborators include:

  • "Advancing Space-Time Simulation of Random Fields: From Storms to Cyclones and Beyond," 2021, Water Resources Research
  • "Unifying compactly supported and Matérn covariance functions in spatial statistics," 2022, Journal of Multivariate Analysis
  • "On streamwise velocity spectra models with fractal and long-memory effects," 2021, Physics of Fluids

Best Publications

  • Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

    Moreno Bevilacqua;Carlo Gaetan;Jorge Mateu;Emilio Porcu

  • Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere

    Emilio Porcu;Moreno Bevilacqua;Marc G. Genton

  • Nonseparable stationary anisotropic space–time covariance functions

    E. Porcu;P. Gregori;J. Mateu

  • Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics

    Moreno Bevilacqua;Tarik Faouzi;Reinhard Furrer;Emilio Porcu;Emilio Porcu

  • Modeling Temporally Evolving and Spatially Globally Dependent Data

    Emilio Porcu;Alfredo Alegria;Reinhard Furrer

  • From Schoenberg Coefficients to Schoenberg Functions

    Christian Berg;Emilio Porcu

  • Discussion on the paper by Spiegelhalter, Sherlaw-Johnson, Bardsley, Blunt, Wood and Grigg

    Deborah Ashby;Sheila M. Bird;Ian Hunt;Robert Grant

  • 30 Years of space–time covariance functions

    Emilio Porcu;Reinhard Furrer;Douglas W Nychka

  • An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields

    Xavier Emery;Daisy Arroyo;Emilio Porcu

  • New classes of covariance and spectral density functions for spatio-temporal modelling

    E. Porcu;J. Mateu;F. Saura

  • Quasi-arithmetic means of covariance functions with potential applications to space-time data

    Emilio Porcu;Jorge Mateu;George Christakos

  • The Dagum family of isotropic correlation functions

    Christian Berg;Jorge Mateu;Emilio Porcu

  • Classes of compactly supported covariance functions for multivariate random fields

    Daryl J. Daley;Emilio Porcu;Moreno Bevilacqua

  • Application of extreme learning machine for estimation of wind speed distribution

    Shahaboddin Shamshirband;Kasra Mohammadi;Chong Wen Tong;Dalibor Petković

  • Modelling spatio-temporal data: A new variogram and covariance structure proposal

    E. Porcu;J. Mateu;A. Zini;R. Pini

  • Predicting Genetic Values: a Kernel-Based Best Linear Unbiased Prediction with Genomic Data

    Ulrike Ober;Malena Erbe;Nanye Long;Emilio Porcu;Emilio Porcu

  • Dimension walks and Schoenberg spectral measures

    D. J. Daley;Emilio Porcu

  • Characterization theorems for some classes of covariance functions associated to vector valued random fields

    Emilio Porcu;Viktor Zastavnyi

  • Advances and challenges in space-time modelling of natural events

    Emilio Porcu;José Maria Montero;Martin Schlather

  • On potentially negative space time covariances obtained as sum of products of marginal ones

    Pablo Gregori;Emilio Porcu;Jorge Mateu;Zoltán Sasvári

Frequent Co-Authors

Jorge Mateu
Jorge Mateu Jaume I University
Christian Berg
Christian Berg University of Copenhagen
Martin Ostoja-Starzewski
Martin Ostoja-Starzewski University of Illinois at Urbana-Champaign
Ali Mostafaeipour
Ali Mostafaeipour California State University, Fullerton
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Kasra Mohammadi
Kasra Mohammadi University of Utah
Dalibor Petković
Dalibor Petković University of Nis
Peter K. Smith
Peter K. Smith Goldsmiths University of London

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