Marc G. Genton

91 papers A 4C 4Misc 1Journal 80Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Generalized Unified Skew-Normal Process with Neural Bayes Inference. Stat. Comput. Kesen Wang, Marc G. Genton
2025	J	`jnl`	A neural network-based adaptive cut-off approach to normality testing for dependent data. Stat. Comput. Minwoo Kim, Marc G. Genton, Raphaël Huser, Stefano Castruccio
2025	J	`jnl`	Decentralized Inference for Spatial Data Using Low-Rank Models. CoRR Jianwei Shi, Sameh Abdulah, Ying Sun, Marc G. Genton
2025	J	`jnl`	Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks. J. Comput. Graph. Stat. Pratik Nag, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, Ying Sun
2025	J	`jnl`	Functional Time Series Analysis and Visualization Based on Records. J. Comput. Graph. Stat. Israel Martínez-Hernández, Marc G. Genton
2025	J	`jnl`	Functional multiple-point simulation. Comput. Geosci. Oluwasegun Taiwo Ojo, Marc G. Genton
2025	C	`conf`	GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes. ISC Zipei Geng, Sameh Abdulah, Ying Sun, Hatem Ltaief, David E. Keyes, Marc G. Genton
2025	J	`jnl`	GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes. CoRR Zipei Geng, Sameh Abdulah, Ying Sun, Hatem Ltaief, David E. Keyes, Marc G. Genton
2025	J	`jnl`	High-Performance Statistical Computing (HPSC): Challenges, Opportunities, and Future Directions. CoRR Sameh Abdulah, Mary Lai O. Salvaña, Ying Sun, David E. Keyes, Marc G. Genton
2025	J	`jnl`	RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems. CoRR Xiran Zhang, Javier Conejero, Sameh Abdulah, Jorge Ejarque, Ying Sun, Rosa M. Badia, David E. Keyes, Marc G. Genton
2025	J	`jnl`	Robust maximum Lq-likelihood covariance estimation for replicated spatial data. J. Data Sci. Stat. Vis. Sihan Chen, Joydeep Chowdhury, Marc G. Genton
2025	J	`jnl`	Scalable Asynchronous Federated Modeling for Spatial Data. CoRR Jianwei Shi, Sameh Abdulah, Ying Sun, Marc G. Genton
2025	J	`jnl`	Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. CoRR Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar, Hatem Ltaief, Andreas Herten, Mathis Bode, Matthew T. Pratola, Arindam Fadikar, Marc G. Genton, David E. Keyes, Ying Sun
2025	—	`conf`	Sustainably Modeling a Sustainable Future Climate. HPEC Rabab Alomairy, Sameh Abdulah, Qinglei Cao, Marc G. Genton, David E. Keyes, Hatem Ltaief
2025	J	`jnl`	Visualization and Assessment of Copula Symmetry. J. Comput. Graph. Stat. Cristian Felipe Jiménez-Varón, Hao Lee, Marc G. Genton, Ying Sun
2024	J	`jnl`	A Generalized Unified Skew-Normal Process with Neural Bayes Inference. CoRR Kesen Wang, Marc G. Genton
2024	J	`jnl`	A multivariate skew-normal-Tukey-h distribution. J. Multivar. Anal. Sagnik Mondal, Marc G. Genton
2024	J	`jnl`	Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations. CoRR Qilong Pan, Sameh Abdulah, Marc G. Genton, Ying Sun
2024	A	`conf`	Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators. SC Sameh Abdulah, Allison H. Baker, George Bosilca, Qinglei Cao, Stefano Castruccio, Marc G. Genton, David E. Keyes, Zubair Khalid, Hatem Ltaief, Yan Song, Georgiy L. Stenchikov, Ying Sun
2024	J	`jnl`	Conjugacy properties of multivariate unified skew-elliptical distributions. J. Multivar. Anal. Maicon J. Karling, Daniele Durante, Marc G. Genton
2024	J	`jnl`	Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes. CoRR Zuzheng Wang, Fouzi Harrou, Ying Sun, Marc G. Genton
2024	J	`jnl`	Fast and Accurate Spherical Harmonic Transform for Spatio-Temporal Regular Grid Data. IEEE Signal Process. Lett. Joydeep Chowdhury, Zubair Khalid, Marc G. Genton
2024	C	`conf`	GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. ISC Qilong Pan, Sameh Abdulah, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun
2024	J	`jnl`	GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. CoRR Qilong Pan, Sameh Abdulah, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun
2024	J	`jnl`	Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations. CoRR Kesen Wang, Minwoo Kim, Stefano Castruccio, Marc G. Genton
2024	J	`jnl`	Multivariate unified skew-t distributions and their properties. J. Multivar. Anal. Kesen Wang, Maicon J. Karling, Reinaldo Boris Arellano-Valle, Marc G. Genton
2024	A	`conf`	Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. IPDPS Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2024	J	`jnl`	Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. CoRR Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2024	J	`jnl`	Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers. Future Gener. Comput. Syst. Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes
2023	J	`jnl`	Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks. CoRR Pratik Nag, Yiping Hong, Sameh Abdulah, Ghulam A. Qadir, Marc G. Genton, Ying Sun
2023	J	`jnl`	Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function. Stat. Comput. Maicon J. Karling, Marc G. Genton, Simos G. Meintanis
2023	J	`jnl`	Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers. CoRR Sameh Abdulah, Jorge Ejarque, Omar Marzouk, Hatem Ltaief, Ying Sun, Marc G. Genton, Rosa M. Badia, David E. Keyes
2023	C	`conf`	Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion. CLUSTER Qinglei Cao, Sameh Abdulah, Hatem Ltaief, Marc G. Genton, David E. Keyes, George Bosilca
2023	J	`jnl`	Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields. J. Comput. Graph. Stat. Huang Huang, Ying Sun, Marc G. Genton
2023	J	`jnl`	Tile low-rank approximations of non-Gaussian space and space-time Tukey J. Parallel Distributed Comput. Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2022	J	`jnl`	Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC. IEEE Trans. Parallel Distributed Syst. Sameh Abdulah, Qinglei Cao, Yu Pei, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun
2022	A	`conf`	Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics. IPDPS Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2022	—	`conf`	Parallel space-time likelihood optimization for air pollution prediction on large-scale systems. PASC Mary Lai O. Salvaña, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2022	A	`conf`	Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. SC 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
2022	J	`jnl`	Responsibly Reckless Matrix Algorithms for HPC Scientific Applications. Comput. Sci. Eng. Hatem Ltaief, Marc G. Genton, Damien Gratadour, David E. Keyes, Matteo Ravasi
2022	J	`jnl`	Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors. J. Comput. Graph. Stat. Jian Cao, Daniele Durante, Marc G. Genton
2022	J	`jnl`	Scalable Gaussian-process regression and variable selection using Vecchia approximations. J. Mach. Learn. Res. Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss
2022	J	`jnl`	Sparse Functional Boxplots for Multivariate Curves. J. Comput. Graph. Stat. Zhuo Qu, Marc G. Genton
2022	J	`jnl`	Sub-dimensional Mardia measures of multivariate skewness and kurtosis. J. Multivar. Anal. Joydeep Chowdhury, Subhajit Dutta, Reinaldo Boris Arellano-Valle, Marc G. Genton
2022	J	`jnl`	tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R. J. Stat. Softw. Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah
2021	J	`jnl`	An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals. Adv. Comput. Math. Jingfang Huang, Jian Cao, Fuhui Fang, Marc G. Genton, David E. Keyes, George Turkiyyah
2021	J	`jnl`	Cyclostationary Processes With Evolving Periods and Amplitudes. IEEE Trans. Signal Process. Soumya Das, Marc G. Genton
2021	J	`jnl`	Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities. Stat. Comput. Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah
2021	J	`jnl`	High Performance Multivariate Geospatial Statistics on Manycore Systems. IEEE Trans. Parallel Distributed Syst. Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2021	J	`jnl`	Improving Bayesian Local Spatial Models in Large Datasets. J. Comput. Graph. Stat. Amanda Lenzi, Stefano Castruccio, Håvard Rue, Marc G. Genton
2021	J	`jnl`	Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids. Comput. Stat. Data Anal. Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah
2020	J	`jnl`	Functional outlier detection and taxonomy by sequential transformations. Comput. Stat. Data Anal. Wenlin Dai, Tomás Mrkvicka, Ying Sun, Marc G. Genton
2020	J	`jnl`	Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization. CoRR Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2020	J	`jnl`	High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems. CoRR Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2019	J	`jnl`	A copula model for non-Gaussian multivariate spatial data. J. Multivar. Anal. Pavel Krupskii, Marc G. Genton
2019	J	`jnl`	Directional outlyingness for multivariate functional data. Comput. Stat. Data Anal. Wenlin Dai, Marc G. Genton
2019	J	`jnl`	ExaGeoStatR: A Package for Large-Scale Geostatistics in R. CoRR Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun
2019	Misc	`conf`	Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. HiPC Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2019	J	`jnl`	Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities. Stat. Comput. Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah
2019	J	`jnl`	Interpolation of the Mean Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index. IEEE Trans. Geosci. Remote. Sens. Ana F. Militino, María Dolores Ugarte, Unai Pérez-Goya, Marc G. Genton
2019	J	`jnl`	Likelihood approximation with hierarchical matrices for large spatial datasets. Comput. Stat. Data Anal. Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes
2019	J	`jnl`	Robust depth-based estimation of the functional autoregressive model. Comput. Stat. Data Anal. Israel Martínez-Hernández, Marc G. Genton, Graciela González-Farías
2018	J	`jnl`	A comparison of dependence function estimators in multivariate extremes. Stat. Comput. Sabrina Vettori, Raphaël Huser, Marc G. Genton
2018	J	`jnl`	ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Trans. Parallel Distributed Syst. Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2018	J	`jnl`	Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler-Reiß distribution. J. Multivar. Anal. Pavel Krupskii, Harry Joe, David Lee, Marc G. Genton
2018	C	`conf`	Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. CLUSTER Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2018	J	`jnl`	Scale and shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. Reinaldo Boris Arellano-Valle, Clécio da Silva Ferreira, Marc G. Genton
2018	J	`jnl`	Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures. CoRR Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2017	J	`jnl`	ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems. CoRR Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2016	J	`jnl`	Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. Technometrics Stefano Castruccio, Marc G. Genton
2016	J	`jnl`	Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton
2016	J	`jnl`	Optimal Estimation of Derivatives in Nonparametric Regression. J. Mach. Learn. Res. Wenlin Dai, Tiejun Tong, Marc G. Genton
2016	J	`jnl`	Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data. J. Multivar. Anal. Kai Dong, Herbert Pang, Tiejun Tong, Marc G. Genton
2016	J	`jnl`	Skewed factor models using selection mechanisms. J. Multivar. Anal. Hyoung-Moon Kim, Mehdi Maadooliat, Reinaldo Boris Arellano-Valle, Marc G. Genton
2015	J	`jnl`	An adaptive spatial model for precipitation data from multiple satellites over large regions. Stat. Comput. Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick
2015	J	`jnl`	Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert. Stat. Methods Appl. Yuan Yan, Marc G. Genton
2015	J	`jnl`	Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. Comput. Stat. Data Anal. Ganggang Xu, Marc G. Genton
2014	J	`jnl`	A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families. J. Multivar. Anal. Subhajit Dutta, Marc G. Genton
2014	J	`jnl`	Mixtures of skewed Kalman filters. J. Multivar. Anal. Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton
2014	J	`jnl`	Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch. IEEE Trans. Smart Grid Le Xie, Yingzhong Gu, Xinxin Zhu, Marc G. Genton
2014	J	`jnl`	Simplicial band depth for multivariate functional data. Adv. Data Anal. Classif. Sara López-Pintado, Ying Sun, Juan K. Lin, Marc G. Genton
2012	J	`jnl`	Nonparametric Inference for Periodic Sequences. Technometrics Ying Sun, Jeffrey D. Hart, Marc G. Genton
2011	J	`jnl`	Characteristic functions of scale mixtures of multivariate skew-normal distributions. J. Multivar. Anal. Hyoung-Moon Kim, Marc G. Genton
2011	J	`jnl`	Comparing Spatial Predictions. Technometrics Amanda S. Hering, Marc G. Genton
2010	J	`jnl`	Perturbation of Numerical Confidential Data via Skew- Manag. Sci. Seokho Lee, Marc G. Genton, Reinaldo Boris Arellano-Valle
2009	J	`jnl`	Shape mixtures of multivariate skew-normal distributions. J. Multivar. Anal. Reinaldo Boris Arellano-Valle, Marc G. Genton, Rosangela Helena Loschi
2006	J	`jnl`	The Multivariate g-and-h Distribution. Technometrics Christopher Field, Marc G. Genton
2004	J	`jnl`	On the discretization of nonparametric isotropic covariogram estimators. Stat. Comput. David J. Gorsich, Marc G. Genton
2002	J	`jnl`	Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. Comput. Stat. Data Anal. Marc G. Genton, David J. Gorsich
2002	J	`jnl`	Simulation-based inference for simultaneous processes on regular lattices. Stat. Comput. Xavier de Luna, Marc G. Genton
2001	J	`jnl`	Classes of Kernels for Machine Learning: A Statistics Perspective. J. Mach. Learn. Res. Marc G. Genton