Marc G. Genton

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 52

Top Topics

Statistical Modeling

Normal Distribution

Multivariate Normal

Maximum Likelihood

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

Publications

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 (2024)
Sagnik Mondal, Marc G. Genton
A multivariate skew-normal-Tukey-h distribution. J. Multivar. Anal. 200 (2024)
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 (2024)
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)
Kesen Wang, Maicon J. Karling, Reinaldo Boris Arellano-Valle, Marc G. Genton
Multivariate unified skew-t distributions and their properties. J. Multivar. Anal. 203 (2024)
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 (2024)
Joydeep Chowdhury, Zubair Khalid, Marc G. Genton
Fast and Accurate Spherical Harmonic Transform for Spatio-Temporal Regular Grid Data. IEEE Signal Process. Lett. 31 (2024)
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) (2023)
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 (2023)
Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
random field likelihoods and predictions on large-scale systems. J. Parallel Distributed Comput. 180 (2023)
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 (2023)
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) (2023)
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)
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) (2022)
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) (2022)
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)
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)
Joydeep Chowdhury, Subhajit Dutta, Reinaldo Boris Arellano-Valle, Marc G. Genton
Sub-dimensional Mardia measures of multivariate skewness and kurtosis. J. Multivar. Anal. 192 (2022)
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)
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) (2022)
Zhuo Qu, Marc G. Genton
Sparse Functional Boxplots for Multivariate Curves. J. Comput. Graph. Stat. 31 (4) (2022)
Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss
Scalable Gaussian-process regression and variable selection using Vecchia approximations. J. Mach. Learn. Res. 23 (2022)
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)
Soumya Das, Marc G. Genton
Cyclostationary Processes With Evolving Periods and Amplitudes. IEEE Trans. Signal Process. 69 (2021)
Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton
Improving Bayesian Local Spatial Models in Large Datasets. J. Comput. Graph. Stat. 30 (2) (2021)
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 (2021)
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) (2021)
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) (2021)
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) (2021)
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 (2020)
Wenlin Dai, Tomás Mrkvicka, Ying Sun, Marc G. Genton
Functional outlier detection and taxonomy by sequential transformations. Comput. Stat. Data Anal. 149 (2020)
Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization. CoRR (2020)
Pavel Krupskii, Marc G. Genton
A copula model for non-Gaussian multivariate spatial data. J. Multivar. Anal. 169 (2019)
Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes
Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. 137 (2019)
Israel Martínez-Hernández, Marc G. Genton, Graciela González-Farías
Robust depth-based estimation of the functional autoregressive model. Comput. Stat. Data Anal. 131 (2019)
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 (2019)
Wenlin Dai, Marc G. Genton
Directional outlyingness for multivariate functional data. Comput. Stat. Data Anal. 131 (2019)
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) (2019)
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) (2019)
Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. HiPC (2019)
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 (2018)
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)
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) (2018)
Reinaldo Boris Arellano-Valle, Clécio S. Ferreira, Marc G. Genton
Scale and shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 166 (2018)
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 (2018)
Sabrina Vettori, Raphaël Huser, Marc G. Genton
A comparison of dependence function estimators in multivariate extremes. Stat. Comput. 28 (3) (2018)
Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems. CoRR (2017)
Wenlin Dai, Tiejun Tong, Marc G. Genton
Optimal Estimation of Derivatives in Nonparametric Regression. J. Mach. Learn. Res. 17 (2016)
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 (2016)
Stefano Castruccio, Marc G. Genton
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. Technometrics 58 (3) (2016)
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) (2016)
Hyoung-Moon Kim, Mehdi Maadooliat, Reinaldo Boris Arellano-Valle, Marc G. Genton
Skewed factor models using selection mechanisms. J. Multivar. Anal. 145 (2016)
Yuan Yan, Marc G. Genton
Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Stat. Methods Appl. 24 (2) (2015)
Ganggang Xu, Marc G. Genton
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. Comput. Stat. Data Anal. 91 (2015)
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) (2015)
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) (2014)
Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton
Mixtures of skewed Kalman filters. J. Multivar. Anal. 123 (2014)
Subhajit Dutta, Marc G. Genton
A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families. J. Multivar. Anal. 132 (2014)
Sara López-Pintado, Ying Sun, Juan K. Lin, Marc G. Genton
Simplicial band depth for multivariate functional data. Adv. Data Anal. Classif. 8 (3) (2014)
Ying Sun, Jeffrey D. Hart, Marc G. Genton
Nonparametric Inference for Periodic Sequences. Technometrics 54 (1) (2012)
Hyoung-Moon Kim, Marc G. Genton
Characteristic functions of scale mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 102 (7) (2011)
Amanda S. Hering, Marc G. Genton
Comparing Spatial Predictions. Technometrics 53 (4) (2011)
Seokho Lee, Marc G. Genton, Reinaldo Boris Arellano-Valle
Distributions. Manag. Sci. 56 (2) (2010)
Reinaldo Boris Arellano-Valle, Marc G. Genton, Rosangela Helena Loschi
Shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. 100 (1) (2009)
Christopher Field, Marc G. Genton
The Multivariate g-and-h Distribution. Technometrics 48 (1) (2006)
David J. Gorsich, Marc G. Genton
On the discretization of nonparametric isotropic covariogram estimators. Stat. Comput. 14 (2) (2004)
Xavier de Luna, Marc G. Genton
Simulation-based inference for simultaneous processes on regular lattices. Stat. Comput. 12 (2) (2002)
Marc G. Genton, David J. Gorsich
Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. Comput. Stat. Data Anal. 41 (1) (2002)
Marc G. Genton
Classes of Kernels for Machine Learning: A Statistics Perspective. J. Mach. Learn. Res. 2 (2001)