Classes of Kernels for Machine Learning: A Statistics Perspective. - Marc G. Genton (J. Mach. Learn. Res., 2001)

Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. - Marc G. Genton; David J. Gorsich (Comput. Stat. Data Anal., 2002)

Simulation-based inference for simultaneous processes on regular lattices. - Xavier de Luna; Marc G. Genton (Stat. Comput., 2002)

On the discretization of nonparametric isotropic covariogram estimators. - David J. Gorsich; Marc G. Genton (Stat. Comput., 2004)

The Multivariate g-and-h Distribution. - Christopher Field; Marc G. Genton (Technometrics, 2006)

Shape mixtures of multivariate skew-normal distributions. - Reinaldo Boris Arellano-Valle; Marc G. Genton; Rosangela Helena Loschi (J. Multivar. Anal., 2009)

Perturbation of Numerical Confidential Data via Skew-t Distributions. - Seokho Lee; Marc G. Genton; Reinaldo Boris Arellano-Valle (Manag. Sci., 2010)

Characteristic functions of scale mixtures of multivariate skew-normal distributions. - Hyoung-Moon Kim; Marc G. Genton (J. Multivar. Anal., 2011)

Comparing Spatial Predictions. - Amanda S. Hering; Marc G. Genton (Technometrics, 2011)

Nonparametric Inference for Periodic Sequences. - Ying Sun 002; Jeffrey D. Hart; Marc G. Genton (Technometrics, 2012)

Simplicial band depth for multivariate functional data. - Sara López-Pintado; Ying Sun 002; Juan K. Lin; Marc G. Genton (Adv. Data Anal. Classif., 2014)

A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families. - Subhajit Dutta; Marc G. Genton (J. Multivar. Anal., 2014)

Mixtures of skewed Kalman filters. - Hyoung-Moon Kim; Duchwan Ryu; Bani K. Mallick; Marc G. Genton (J. Multivar. Anal., 2014)

Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch. - Le Xie 001; Yingzhong Gu; Xinxin Zhu; Marc G. Genton (IEEE Trans. Smart Grid, 2014)

Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. - Ganggang Xu; Marc G. Genton (Comput. Stat. Data Anal., 2015)

An adaptive spatial model for precipitation data from multiple satellites over large regions. - Avishek Chakraborty; Swarup De; Kenneth P. Bowman; Huiyan Sang; Marc G. Genton; Bani K. Mallick (Stat. Comput., 2015)

Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert. - Yuan Yan; Marc G. Genton (Stat. Methods Appl., 2015)

Optimal Estimation of Derivatives in Nonparametric Regression. - Wenlin Dai; Tiejun Tong; Marc G. Genton (J. Mach. Learn. Res., 2016)

Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data. - Kai Dong; Herbert Pang; Tiejun Tong; Marc G. Genton (J. Multivar. Anal., 2016)

Skewed factor models using selection mechanisms. - Hyoung-Moon Kim; Mehdi Maadooliat; Reinaldo Boris Arellano-Valle; Marc G. Genton (J. Multivar. Anal., 2016)

Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. - Stefano Castruccio; Marc G. Genton (Technometrics, 2016)

Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. - Souhaib Ben Taieb; Raphaël Huser; Rob J. Hyndman; Marc G. Genton (IEEE Trans. Smart Grid, 2016)

ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems. - Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (CoRR, 2017)

Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. - Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (CLUSTER, 2018)

Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures. - Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (CoRR, 2018)

Scale and shape mixtures of multivariate skew-normal distributions. - Reinaldo Boris Arellano-Valle; Clécio da Silva Ferreira; Marc G. Genton (J. Multivar. Anal., 2018)

Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler-Reiß distribution. - Pavel Krupskii; Harry Joe; David Lee; Marc G. Genton (J. Multivar. Anal., 2018)

A comparison of dependence function estimators in multivariate extremes. - Sabrina Vettori; Raphaël Huser; Marc G. Genton (Stat. Comput., 2018)

ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. - Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (IEEE Trans. Parallel Distributed Syst., 2018)

Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. - Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (HiPC, 2019)

ExaGeoStatR: A Package for Large-Scale Geostatistics in R. - Sameh Abdulah; Yuxiao Li 003; Jian Cao 004; Hatem Ltaief; David E. Keyes; Marc G. Genton; Ying Sun 002 (CoRR, 2019)

Directional outlyingness for multivariate functional data. - Wenlin Dai; Marc G. Genton (Comput. Stat. Data Anal., 2019)

Likelihood approximation with hierarchical matrices for large spatial datasets. - Alexander Litvinenko; Ying Sun 002; Marc G. Genton; David E. Keyes (Comput. Stat. Data Anal., 2019)

Robust depth-based estimation of the functional autoregressive model. - Israel Martínez-Hernández; Marc G. Genton; Graciela González-Farías (Comput. Stat. Data Anal., 2019)

A copula model for non-Gaussian multivariate spatial data. - Pavel Krupskii; Marc G. Genton (J. Multivar. Anal., 2019)

Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities. - Jian Cao 004; Marc G. Genton; David E. Keyes; George M. Turkiyyah (Stat. Comput., 2019)

Interpolation of the Mean Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index. - Ana F. Militino; María Dolores Ugarte; Unai Pérez-Goya; Marc G. Genton (IEEE Trans. Geosci. Remote. Sens., 2019)

High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems. - Mary Lai O. Salvaña; Sameh Abdulah; Huang Huang; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (CoRR, 2020)

Functional outlier detection and taxonomy by sequential transformations. - Wenlin Dai; Tomás Mrkvicka; Ying Sun 002; Marc G. Genton (Comput. Stat. Data Anal., 2020)

An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals. - Jingfang Huang; Jian Cao 004; Fuhui Fang; Marc G. Genton; David E. Keyes; George Turkiyyah (Adv. Comput. Math., 2021)

Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids. - Jian Cao 004; Marc G. Genton; David E. Keyes; George M. Turkiyyah (Comput. Stat. Data Anal., 2021)

Improving Bayesian Local Spatial Models in Large Datasets. - Amanda Lenzi; Stefano Castruccio; Håvard Rue; Marc G. Genton (J. Comput. Graph. Stat., 2021)

Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities. - Jian Cao 004; Marc G. Genton; David E. Keyes; George M. Turkiyyah (Stat. Comput., 2021)

High Performance Multivariate Geospatial Statistics on Manycore Systems. - Mary Lai O. Salvaña; Sameh Abdulah; Huang Huang; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (IEEE Trans. Parallel Distributed Syst., 2021)

Cyclostationary Processes With Evolving Periods and Amplitudes. - Soumya Das; Marc G. Genton (IEEE Trans. Signal Process., 2021)

Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics. - Sagnik Mondal; Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (IPDPS, 2022)

Parallel space-time likelihood optimization for air pollution prediction on large-scale systems. - Mary Lai O. Salvaña; Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (PASC, 2022)

Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. - 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 002 (SC, 2022)

Responsibly Reckless Matrix Algorithms for HPC Scientific Applications. - Hatem Ltaief; Marc G. Genton; Damien Gratadour; David E. Keyes; Matteo Ravasi (Comput. Sci. Eng., 2022)

Scalable Gaussian-process regression and variable selection using Vecchia approximations. - Jian Cao 004; Joseph Guinness; Marc G. Genton; Matthias Katzfuss (J. Mach. Learn. Res., 2022)

tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R. - Jian Cao 004; Marc G. Genton; David E. Keyes; George M. Turkiyyah (J. Stat. Softw., 2022)

Sub-dimensional Mardia measures of multivariate skewness and kurtosis. - Joydeep Chowdhury; Subhajit Dutta; Reinaldo Boris Arellano-Valle; Marc G. Genton (J. Multivar. Anal., 2022)

Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC. - Sameh Abdulah; Qinglei Cao; Yu Pei; George Bosilca; Jack J. Dongarra; Marc G. Genton; David E. Keyes; Hatem Ltaief; Ying Sun 002 (IEEE Trans. Parallel Distributed Syst., 2022)

Ima procedure for gap-filling LST and NDVI images of Navarre (Spain). - Ana F. Militino; María Dolores Ugarte; Unai Pérez-Goya; Marc G. Genton (IEEE DataPort, 2022)

Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors. - Jian Cao 004; Daniele Durante; Marc G. Genton (J. Comput. Graph. Stat., 2022)

Sparse Functional Boxplots for Multivariate Curves. - Zhuo Qu; Marc G. Genton (J. Comput. Graph. Stat., 2022)

Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion. - Qinglei Cao; Sameh Abdulah; Hatem Ltaief; Marc G. Genton; David E. Keyes; George Bosilca (CLUSTER, 2023)

Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields. - Huang Huang; Ying Sun 002; Marc G. Genton (J. Comput. Graph. Stat., 2023)

Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems. - Sagnik Mondal; Sameh Abdulah; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (J. Parallel Distributed Comput., 2023)

Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function. - Maicon J. Karling; Marc G. Genton; Simos G. Meintanis (Stat. Comput., 2023)

Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. - Xiran Zhang; Sameh Abdulah; Jian Cao 004; Hatem Ltaief; Ying Sun 002; Marc G. Genton; David E. Keyes (IPDPS, 2024)

Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators. - 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 002 (SC, 2024)

GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. - Qilong Pan 001; Sameh Abdulah; Marc G. Genton; David E. Keyes; Hatem Ltaief; Ying Sun 002 (ISC, 2024)

Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations. - Qilong Pan 001; Sameh Abdulah; Marc G. Genton; Ying Sun 002 (CoRR, 2024)

A Generalized Unified Skew-Normal Process with Neural Bayes Inference. - Kesen Wang; Marc G. Genton (CoRR, 2024)

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations. - Kesen Wang; Minwoo Kim; Stefano Castruccio; Marc G. Genton (CoRR, 2024)

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes. - Zuzheng Wang; Fouzi Harrou; Ying Sun 002; Marc G. Genton (CoRR, 2024)

Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers. - Sameh Abdulah; Jorge Ejarque; Omar Marzouk; Hatem Ltaief; Ying Sun 002; Marc G. Genton; Rosa M. Badia; David E. Keyes (Future Gener. Comput. Syst., 2024)

Conjugacy properties of multivariate unified skew-elliptical distributions. - Maicon J. Karling; Daniele Durante; Marc G. Genton (J. Multivar. Anal., 2024)

Multivariate unified skew-t distributions and their properties. - Kesen Wang; Maicon J. Karling; Reinaldo Boris Arellano-Valle; Marc G. Genton (J. Multivar. Anal., 2024)

Fast and Accurate Spherical Harmonic Transform for Spatio-Temporal Regular Grid Data. - Joydeep Chowdhury; Zubair Khalid; Marc G. Genton (IEEE Signal Process. Lett., 2024)

A multivariate skew-normal-Tukey-h distribution. - Sagnik Mondal; Marc G. Genton (J. Multivar. Anal., 2024)

GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes. - Zipei Geng; Sameh Abdulah; Ying Sun 002; Hatem Ltaief; David E. Keyes; Marc G. Genton (ISC, 2025)

Functional multiple-point simulation. - Oluwasegun Taiwo Ojo; Marc G. Genton (Comput. Geosci., 2025)

Functional Time Series Analysis and Visualization Based on Records. - Israel Martínez-Hernández; Marc G. Genton (J. Comput. Graph. Stat., 2025)

Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks. - Pratik Nag; Yiping Hong; Sameh Abdulah; Ghulam A. Qadir; Marc G. Genton; Ying Sun 002 (J. Comput. Graph. Stat., 2025)

Robust maximum Lq-likelihood covariance estimation for replicated spatial data. - Sihan Chen; Joydeep Chowdhury; Marc G. Genton (J. Data Sci. Stat. Vis., 2025)

Decentralized Inference for Spatial Data Using Low-Rank Models. - Jianwei Shi; Sameh Abdulah; Ying Sun 002; Marc G. Genton (CoRR, 2025)

A neural network-based adaptive cut-off approach to normality testing for dependent data. - Minwoo Kim; Marc G. Genton; Raphaël Huser; Stefano Castruccio (Stat. Comput., 2025)

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. - Qilong Pan 001; Sameh Abdulah; Mustafa Abduljabbar; Hatem Ltaief; Andreas Herten; Mathis Bode; Matthew T. Pratola; Arindam Fadikar; Marc G. Genton; David E. Keyes; Ying Sun 002 (CoRR, 2025)

RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems. - Xiran Zhang; Javier Conejero; Sameh Abdulah; Jorge Ejarque; Ying Sun 002; Rosa M. Badia; David E. Keyes; Marc G. Genton (CoRR, 2025)