Marc G. Genton
Orcid: 0000-0001-6467-2998Affiliations:
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
According to our database1,
Marc G. Genton
authored at least 63 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations.
CoRR, 2024
2023
Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function.
Stat. Comput., October, 2023
Tile low-rank approximations of non-Gaussian space and space-time Tukey <i>g</i>-and-<i>h</i> random field likelihoods and predictions on large-scale systems.
J. Parallel Distributed Comput., 2023
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers.
CoRR, 2023
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks.
CoRR, 2023
Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
2022
J. Comput. Graph. Stat., October, 2022
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors.
J. Comput. Graph. Stat., July, 2022
Dataset, May, 2022
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC.
IEEE Trans. Parallel Distributed Syst., 2022
J. Multivar. Anal., 2022
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R.
J. Stat. Softw., 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations.
J. Mach. Learn. Res., 2022
Comput. Sci. Eng., 2022
Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Parallel space-time likelihood optimization for air pollution prediction on large-scale systems.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Parallel Distributed Syst., 2021
Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities.
Stat. Comput., 2021
J. Comput. Graph. Stat., 2021
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids.
Comput. Stat. Data Anal., 2021
An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals.
Adv. Comput. Math., 2021
2020
Comput. Stat. Data Anal., 2020
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems.
CoRR, 2020
2019
Interpolation of the Mean Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index.
IEEE Trans. Geosci. Remote. Sens., 2019
Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities.
Stat. Comput., 2019
Comput. Stat. Data Anal., 2019
Comput. Stat. Data Anal., 2019
Comput. Stat. Data Anal., 2019
Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019
2018
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems.
IEEE Trans. Parallel Distributed Syst., 2018
Stat. Comput., 2018
Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler-Reiß distribution.
J. Multivar. Anal., 2018
J. Multivar. Anal., 2018
Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures.
CoRR, 2018
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
2017
ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems.
CoRR, 2017
2016
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression.
IEEE Trans. Smart Grid, 2016
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature.
Technometrics, 2016
Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data.
J. Multivar. Anal., 2016
J. Mach. Learn. Res., 2016
2015
Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert.
Stat. Methods Appl., 2015
An adaptive spatial model for precipitation data from multiple satellites over large regions.
Stat. Comput., 2015
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution.
Comput. Stat. Data Anal., 2015
2014
Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch.
IEEE Trans. Smart Grid, 2014
A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families.
J. Multivar. Anal., 2014
Adv. Data Anal. Classif., 2014
2012
2011
Characteristic functions of scale mixtures of multivariate skew-normal distributions.
J. Multivar. Anal., 2011
2010
Manag. Sci., 2010
2009
2006
2004
Stat. Comput., 2004
2002
Stat. Comput., 2002
Comput. Stat. Data Anal., 2002
2001
J. Mach. Learn. Res., 2001