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ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

IEEE transactions on parallel and distributed systems, 2018-12, Vol.29 (12), p.2771-2784

2018

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IEEE_Xplore

Parametric variogram matrices incorporating both bounded and unbounded functions

Stochastic environmental research and risk assessment, 2019-10, Vol.33 (10), p.1669-1679

2019

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Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function

Statistics and computing, 2023-10, Vol.33 (5), Article 99

2023

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Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities

Statistics and computing, 2019-05, Vol.29 (3), p.585-598

2019

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Responsibly Reckless Matrix Algorithms for HPC Scientific Applications

Computing in science & engineering, 2022-07, Vol.24 (4), p.12-22

2022

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IEEE_Xplore

tlrmvnmvt : Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R

Journal of statistical software, 2022, Vol.101 (4), p.1-25

2022

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A comparison of dependence function estimators in multivariate extremes

Statistics and computing, 2018-05, Vol.28 (3), p.525-538

2018

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Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities

Statistics and computing, 2021, Vol.31 (1), Article 2

2021

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A Matérn model of the spatial covariance structure of point rain rates

Stochastic environmental research and risk assessment, 2015-02, Vol.29 (2), p.411-416

2015

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Directional outlyingness for multivariate functional data

Computational statistics & data analysis, 2019-03, Vol.131, p.50-65

2019

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Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert

Statistical methods & applications, 2015-07, Vol.24 (2), p.245-251

2015

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Modeling spatio-temporal wildfire ignition point patterns

Environmental and ecological statistics, 2009-06, Vol.16 (2), p.225-250

2009

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An adaptive spatial model for precipitation data from multiple satellites over large regions

Statistics and computing, 2015-03, Vol.25 (2), p.389-405

2015

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Likelihood approximation with hierarchical matrices for large spatial datasets

Computational statistics & data analysis, 2019-09, Vol.137, p.115-132

2019

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Efficient maximum approximated likelihood inference for Tukey’s g-and-h distribution

Computational statistics & data analysis, 2015-11, Vol.91, p.78-91

2015

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Functional outlier detection and taxonomy by sequential transformations

Computational statistics & data analysis, 2020-09, Vol.149, p.106960, Article 106960

2020

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Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC

IEEE transactions on parallel and distributed systems, 2022-04, Vol.33 (4), p.964-976

2022

Link zum Volltext
IEEE_Xplore

High Performance Multivariate Geospatial Statistics on Manycore Systems

IEEE transactions on parallel and distributed systems, 2021-11, Vol.32 (11), p.2719-2733

2021

Link zum Volltext
IEEE_Xplore

Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems

Journal of parallel and distributed computing, 2023-10, Vol.180, p.104715, Article 104715

2023

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Multivariate transformed Gaussian processes

Japanese journal of statistics and data science, 2020-06, Vol.3 (1), p.129-152

2020

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Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids

Computational statistics & data analysis, 2021-05, Vol.157, p.107165, Article 107165

2021

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Nonparametric variogram and covariogram estimation with Fourier–Bessel matrices

Computational statistics & data analysis, 2002-11, Vol.41 (1), p.47-57

2002

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Robust depth-based estimation of the functional autoregressive model

Computational statistics & data analysis, 2019-03, Vol.131, p.66-79

2019

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Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations

2018 IEEE International Conference on Cluster Computing (CLUSTER), 2018, p.98-108

2018

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IEEE_Xplore

Simplicial band depth for multivariate functional data

Advances in data analysis and classification, 2014, Vol.8 (3), p.321-338

2014

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ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

Parametric variogram matrices incorporating both bounded and unbounded functions

Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function

Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities

Responsibly Reckless Matrix Algorithms for HPC Scientific Applications

tlrmvnmvt : Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R

A comparison of dependence function estimators in multivariate extremes

Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities

A Matérn model of the spatial covariance structure of point rain rates

Directional outlyingness for multivariate functional data

Discussion of “Multivariate functional outlier detection” by Mia Hubert, Peter Rousseeuw and Pieter Segaert

Modeling spatio-temporal wildfire ignition point patterns

An adaptive spatial model for precipitation data from multiple satellites over large regions

Likelihood approximation with hierarchical matrices for large spatial datasets

Efficient maximum approximated likelihood inference for Tukey’s g-and-h distribution

Functional outlier detection and taxonomy by sequential transformations

Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC

High Performance Multivariate Geospatial Statistics on Manycore Systems

Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems

Multivariate transformed Gaussian processes

Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids

Nonparametric variogram and covariogram estimation with Fourier–Bessel matrices

Robust depth-based estimation of the functional autoregressive model

Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations

Simplicial band depth for multivariate functional data

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