World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
12109
World Ranking
1987
National Ranking
19

Overview

Raul Tempone is affiliated with the King Abdullah University of Science and Technology in Saudi Arabia. Their research spans a range of topics primarily in statistics, probability, uncertainty quantification, and applications in engineering and finance.

The scientist's recent publication record includes works addressing advanced computational methods and stochastic modeling. Notable papers include:

  • Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization (2020, Repository@Nottingham, University of Nottingham)
  • Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks (2020, arXiv, Cornell University)
  • Multilevel Ensemble Kalman Filtering based on a sample average of independent EnKF estimators (2021, King Abdullah University of Science and Technology Repository)
  • Efficient importance sampling for large sums of independent and identically distributed random variables (2021, King Abdullah University of Science and Technology Repository)
  • Principal component density estimation for scenario generation using normalizing flows (2022, Data-Centric Engineering)

Their frequent co-authors include:

  • Nadhir Ben Rached
  • Luis Espath
  • Chiheb Ben Hammouda
  • Abdul-Lateef Haji-Ali
  • Alexander Litvinenko

Raul Tempone often publishes in venues that focus on computational statistics, uncertainty quantification, and applied mathematics. Regular publication venues include:

  • arXiv (Cornell University)
  • Statistics and Computing
  • Computer Methods in Applied Mechanics and Engineering
  • King Abdullah University of Science and Technology Repository
  • SIAM/ASA Journal on Uncertainty Quantification

Their research fields of focus encompass:

  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Statistics and Probability
  • Finance
  • Electrical and Electronic Engineering

The main research topics they cover include:

  • Probabilistic and Robust Engineering Design
  • Stochastic processes and financial applications
  • Mathematical Approximation and Integration
  • Probability and Risk Models
  • Statistical Methods and Inference
  • Advanced Multi-Objective Optimization Algorithms
  • Target Tracking and Data Fusion in Sensor Networks

Best Publications

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babus caron;ka;Fabio Nobile;Rau´l Tempone

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babuška;Fabio Nobile;Raúl Tempone

  • A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • GALERKIN FINITE ELEMENT APPROXIMATIONS OF STOCHASTIC ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS

    Ivo Babuska;Raúl Tempone;Georgios E. Zouraris

  • An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation

    Ivo Babuška;Raúl Tempone;Georgios E. Zouraris

  • Stochastic Spectral Galerkin and Collocation Methods for PDEs with Random Coefficients: A Numerical Comparison

    Joakim Bäck;Fabio Nobile;Lorenzo Tamellini;Raul Tempone

  • Multi-index Monte Carlo: when sparsity meets sampling

    Abdul-Lateef Haji-Ali;Fabio Nobile;Raúl Tempone

  • ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS

    Joakim Beck;Raul Tempone;Fabio Nobile;Fabio Nobile;Lorenzo Tamellini

  • Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations

    Quan Long;Quan Long;Marco Scavino;Marco Scavino;Raúl Tempone;Suojin Wang

  • A continuation multilevel Monte Carlo algorithm

    Nathan Collier;Abdul-Lateef Haji-Ali;Fabio Nobile;Erik von Schwerin

  • Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

    Abdellah Chkifa;Albert Cohen;Giovanni Migliorati;Fabio Nobile

  • Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients

    Fabio Nobile;Raul Tempone;Raul Tempone

  • Multilevel sequential Monte-Carlo samplers

    Alexandros Beskos;Ajay Jasra;Kody Law;Raul Tempone

  • Theory and methodology for estimation and control of errors due to modeling, approximation, and uncertainty

    J T Oden;Ivo M Babuska;Fabio Nobile;Yusheng Feng

  • Multilevel ensemble Kalman filtering

    Håkon Hoel;Håkon Hoel;Kody J. H. Law;Raul Tempone

  • Analysis of Discrete $$L^2$$L2 Projection on Polynomial Spaces with Random Evaluations

    G. Migliorati;F. Nobile;E. Schwerin;R. Tempone

  • Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

    Giovanni Migliorati;Fabio Nobile;E. Von Schwerin;R. Tempone

  • Adaptive Weak Approximation of Stochastic Differential Equations

    Anders Szepessy;Raúl Tempone;Georgios E. Zouraris

  • A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria

    I. Babuska;F. Nobile;Raul Tempone

  • SOLVING STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS BASED ON THE EXPERIMENTAL DATA

    Ivo Babuška;Kang-Man Liu;Raúl Tempone

Frequent Co-Authors

Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Abla Kammoun
Abla Kammoun King Abdullah University of Science and Technology
Ivo Babuška
Ivo Babuška The University of Texas at Austin
Hamidou Tembine
Hamidou Tembine King Abdullah University of Science and Technology
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Hakan Bagci
Hakan Bagci King Abdullah University of Science and Technology
Rajandrea Sethi
Rajandrea Sethi Polytechnic University of Turin
Daniele Marchisio
Daniele Marchisio Polytechnic University of Turin

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