default search action
Marc G. Genton
Person information
- affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
SPARQL queries
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j54]Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes:
Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers. Future Gener. Comput. Syst. 161: 248-258 (2024) - [j53]Sagnik Mondal, Marc G. Genton:
A multivariate skew-normal-Tukey-h distribution. J. Multivar. Anal. 200: 105260 (2024) - [j52]Kesen Wang, Maicon J. Karling, Reinaldo Boris Arellano-Valle, Marc G. Genton:
Multivariate unified skew-t distributions and their properties. J. Multivar. Anal. 203: 105322 (2024) - [j51]Maicon J. Karling, Daniele Durante, Marc G. Genton:
Conjugacy properties of multivariate unified skew-elliptical distributions. J. Multivar. Anal. 204: 105357 (2024) - [j50]Joydeep Chowdhury, Zubair Khalid, Marc G. Genton:
Fast and Accurate Spherical Harmonic Transform for Spatio-Temporal Regular Grid Data. IEEE Signal Process. Lett. 31: 1825-1829 (2024) - [c8]Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. IPDPS 2024: 265-276 - [c7]Qilong Pan, Sameh Abdulah, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. ISC 2024: 1-12 - [i9]Qilong Pan, Sameh Abdulah, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. CoRR abs/2403.07412 (2024) - [i8]Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. CoRR abs/2405.14892 (2024) - 2023
- [j49]Huang Huang, Ying Sun, Marc G. Genton:
Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields. J. Comput. Graph. Stat. 32(4): 1545-1555 (2023) - [j48]Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems. J. Parallel Distributed Comput. 180: 104715 (2023) - [j47]Maicon J. Karling, Marc G. Genton, Simos G. Meintanis:
Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function. Stat. Comput. 33(5): 99 (2023) - [c6]Qinglei Cao, Sameh Abdulah, Hatem Ltaief, Marc G. Genton, David E. Keyes, George Bosilca:
Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion. CLUSTER 2023: 330-342 - [i7]Pratik Nag, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, Ying Sun:
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks. CoRR abs/2306.11487 (2023) - [i6]Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes:
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers. CoRR abs/2312.07748 (2023) - 2022
- [j46]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) - [j45]Jian Cao, Daniele Durante, Marc G. Genton:
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors. J. Comput. Graph. Stat. 31(3): 709-720 (2022) - [j44]Zhuo Qu, Marc G. Genton:
Sparse Functional Boxplots for Multivariate Curves. J. Comput. Graph. Stat. 31(4): 976-989 (2022) - [j43]Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss:
Scalable Gaussian-process regression and variable selection using Vecchia approximations. J. Mach. Learn. Res. 23: 348:1-348:30 (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: 2:1-2:12 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint