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ORCIDMarc G. Genton
Person information
- affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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2020 – today
- 2022
[j43]Hatem Ltaief
, Marc G. Genton, Damien Gratadour, David E. Keyes, Matteo Ravasi:
Responsibly Reckless Matrix Algorithms for HPC Scientific Applications. Comput. Sci. Eng. 24(4): 12-22 (2022)- [j42]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R. J. Stat. Softw. 101(4) (2022) - [j41]Joydeep Chowdhury, Subhajit Dutta, Reinaldo Boris Arellano-Valle, Marc G. Genton:
Sub-dimensional Mardia measures of multivariate skewness and kurtosis. J. Multivar. Anal. 192: 105089 (2022) - [j40]Sameh Abdulah, Qinglei Cao, Yu Pei, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC. IEEE Trans. Parallel Distributed Syst. 33(4): 964-976 (2022) - [c5]Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics. IPDPS 2022: 379-389 - [c4]Mary Lai O. Salvaña, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel space-time likelihood optimization for air pollution prediction on large-scale systems. PASC 2022: 17:1-17:11 - [c3]Qinglei Cao, Sameh Abdulah, Rabab Alomairy, Yu Pei, Pratik Nag, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. SC 2022: 1-12 - [d1]Ana F. Militino, María Dolores Ugarte, Unai Pérez-Goya, Marc G. Genton:
Ima procedure for gap-filling LST and NDVI images of Navarre (Spain). IEEE DataPort 2022 - 2021
- [j39]Jingfang Huang, Jian Cao, Fuhui Fang, Marc G. Genton, David E. Keyes, George Turkiyyah:
An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals. Adv. Comput. Math. 47(5): 65 (2021) - [j38]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids. Comput. Stat. Data Anal. 157: 107165 (2021) - [j37]Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton:
Improving Bayesian Local Spatial Models in Large Datasets. J. Comput. Graph. Stat. 30(2): 349-359 (2021) - [j36]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities. Stat. Comput. 31(1): 2 (2021) - [j35]Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
High Performance Multivariate Geospatial Statistics on Manycore Systems. IEEE Trans. Parallel Distributed Syst. 32(11): 2719-2733 (2021) - [j34]Soumya Das, Marc G. Genton:
Cyclostationary Processes With Evolving Periods and Amplitudes. IEEE Trans. Signal Process. 69: 1579-1590 (2021) - 2020
- [j33]Wenlin Dai, Tomás Mrkvicka, Ying Sun, Marc G. Genton:
Functional outlier detection and taxonomy by sequential transformations. Comput. Stat. Data Anal. 149: 106960 (2020) - [i5]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization. CoRR abs/2003.05324 (2020) - [i4]Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems. CoRR abs/2008.07437 (2020)
2010 – 2019
- 2019
- [j32]Wenlin Dai, Marc G. Genton:
Directional outlyingness for multivariate functional data. Comput. Stat. Data Anal. 131: 50-65 (2019) - [j31]Israel Martínez-Hernández, Marc G. Genton, Graciela González-Farías:
Robust depth-based estimation of the functional autoregressive model. Comput. Stat. Data Anal. 131: 66-79 (2019) - [j30]Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes:
Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. 137: 115-132 (2019) - [j29]Pavel Krupskii, Marc G. Genton:
A copula model for non-Gaussian multivariate spatial data. J. Multivar. Anal. 169: 264-277 (2019) - [j28]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities. Stat. Comput. 29(3): 585-598 (2019) - [j27]Ana F. Militino, María Dolores Ugarte, Unai Pérez-Goya, Marc G. Genton:
Interpolation of the Mean Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index. IEEE Trans. Geosci. Remote. Sens. 57(8): 6068-6078 (2019) - [c2]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. HiPC 2019: 152-162 - [i3]Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun:
ExaGeoStatR: A Package for Large-Scale Geostatistics in R. CoRR abs/1908.06936 (2019) - 2018
- [j26]Pavel Krupskii, Harry Joe, David Lee, Marc G. Genton:
Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler-Reiß distribution. J. Multivar. Anal. 163: 80-95 (2018) - [j25]Reinaldo Boris Arellano-Valle, Clécio da Silva Ferreira, Marc G. Genton:
Scale and shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 166: 98-110 (2018) - [j24]Sabrina Vettori, Raphaël Huser, Marc G. Genton:
A comparison of dependence function estimators in multivariate extremes. Stat. Comput. 28(3): 525-538 (2018) - [j23]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Trans. Parallel Distributed Syst. 29(12): 2771-2784 (2018) - [c1]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. CLUSTER 2018: 98-108 - [i2]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures. CoRR abs/1804.09137 (2018) - 2017
- [i1]Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems. CoRR abs/1708.02835 (2017) - 2016
- [j22]Wenlin Dai, Tiejun Tong, Marc G. Genton:
Optimal Estimation of Derivatives in Nonparametric Regression. J. Mach. Learn. Res. 17: 164:1-164:25 (2016) - [j21]Kai Dong, Herbert Pang, Tiejun Tong, Marc G. Genton:
Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data. J. Multivar. Anal. 143: 127-142 (2016) - [j20]Hyoung-Moon Kim, Mehdi Maadooliat, Reinaldo Boris Arellano-Valle, Marc G. Genton:
Skewed factor models using selection mechanisms. J. Multivar. Anal. 145: 162-177 (2016) - [j19]Stefano Castruccio, Marc G. Genton:
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. Technometrics 58(3): 319-328 (2016) - [j18]Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton:
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid 7(5): 2448-2455 (2016) - 2015
- [j17]Ganggang Xu, Marc G. Genton:
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. Comput. Stat. Data Anal. 91: 78-91 (2015) - [j16]Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick:
An adaptive spatial model for precipitation data from multiple satellites over large regions. Stat. Comput. 25(2): 389-405 (2015) - [j15]Yuan Yan, Marc G. Genton:
Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Stat. Methods Appl. 24(2): 245-251 (2015) - 2014
- [j14]Sara López-Pintado, Ying Sun, Juan K. Lin, Marc G. Genton:
Simplicial band depth for multivariate functional data. Adv. Data Anal. Classif. 8(3): 321-338 (2014) - [j13]Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton:
Mixtures of skewed Kalman filters. J. Multivar. Anal. 123: 228-251 (2014) - [j12]Subhajit Dutta, Marc G. Genton:
A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families. J. Multivar. Anal. 132: 82-93 (2014) - [j11]Le Xie, Yingzhong Gu, Xinxin Zhu, Marc G. Genton:
Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch. IEEE Trans. Smart Grid 5(1): 511-520 (2014) - 2012
- [j10]Ying Sun, Jeffrey D. Hart, Marc G. Genton:
Nonparametric Inference for Periodic Sequences. Technometrics 54(1): 83-96 (2012) - 2011
- [j9]Hyoung-Moon Kim, Marc G. Genton:
Characteristic functions of scale mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 102(7): 1105-1117 (2011) - [j8]Amanda S. Hering, Marc G. Genton:
Comparing Spatial Predictions. Technometrics 53(4): 414-425 (2011) - 2010
- [j7]Seokho Lee, Marc G. Genton, Reinaldo Boris Arellano-Valle:
Perturbation of Numerical Confidential Data via Skew-t Distributions. Manag. Sci. 56(2): 318-333 (2010)
2000 – 2009
- 2009
- [j6]Reinaldo Boris Arellano-Valle, Marc G. Genton, Rosangela Helena Loschi:
Shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 100(1): 91-101 (2009) - 2006
- [j5]Christopher Field, Marc G. Genton:
The Multivariate g-and-h Distribution. Technometrics 48(1): 104-111 (2006) - 2004
- [j4]David J. Gorsich, Marc G. Genton:
On the discretization of nonparametric isotropic covariogram estimators. Stat. Comput. 14(2): 99-108 (2004) - 2002
- [j3]Marc G. Genton, David J. Gorsich:
Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. Comput. Stat. Data Anal. 41(1): 47-57 (2002) - [j2]Xavier de Luna, Marc G. Genton:
Simulation-based inference for simultaneous processes on regular lattices. Stat. Comput. 12(2): 125-134 (2002) - 2001
- [j1]Marc G. Genton:
Classes of Kernels for Machine Learning: A Statistics Perspective. J. Mach. Learn. Res. 2: 299-312 (2001)
Coauthor Index
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