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Cross-Covariance Functions for Multivariate Geostatistics

Statistical science, 2015-05, Vol.30 (2), p.147-163

2015

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Tukey g-and-h Random Fields

Journal of the American Statistical Association, 2017-07, Vol.112 (519), p.1236-1249

2017

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Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.888-898

2016

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Functional Boxplots

Journal of computational and graphical statistics, 2011-06, Vol.20 (2), p.316-334

2011

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Spherical Process Models for Global Spatial Statistics

Statistical science, 2017-11, Vol.32 (4), p.501-513

2017

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Factor Copula Models for Replicated Spatial Data

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.467-479

2018

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Modeling the Convective Boundary Layer in the Terra Incognita: Evaluation of Different Strategies with Real-Case Simulations

Monthly weather review, 2022-05, Vol.150 (5), p.981-1001

2022

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Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks

Journal of the Royal Statistical Society Series C: Applied Statistics, 2022-03, Vol.71 (2), p.449-466

2022

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Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors

Journal of computational and graphical statistics, 2022-07, Vol.31 (3), p.709-720

2022

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High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes

Journal of computational and graphical statistics, 2016-12, Vol.25 (4), p.1212-1229

2016

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Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields

Journal of computational and graphical statistics, 2023-10, Vol.32 (4), p.1545-1555

2023

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Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression

IEEE transactions on smart grid, 2016-09, Vol.7 (5), p.2448-2455

2016

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Sparse Functional Boxplots for Multivariate Curves

Journal of computational and graphical statistics, 2022-10, Vol.31 (4), p.976-989

2022

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HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification

MethodsX, 2020-01, Vol.7, p.100600-100600, Article 100600

2020

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A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data

Biometrics, 2018-09, Vol.74 (3), p.823-833

2018

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Non-Stationary Dependence Structures for Spatial Extremes

Journal of agricultural, biological, and environmental statistics, 2016-09, Vol.21 (3), p.470-491

2016

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Covariance Tapering for Interpolation of Large Spatial Datasets

Journal of computational and graphical statistics, 2006-09, Vol.15 (3), p.502-523

2006

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Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms

Journal of the American Statistical Association, 2015-03, Vol.110 (509), p.56-67

2015

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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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Are You All Normal? It Depends

International statistical review, 2023-04, Vol.91 (1), p.114-139

2023

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Stationary nonseparable space-time covariance functions on networks

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-02, Vol.85 (5), p.1417-1440

2024

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Bayesian modeling of air pollution extremes using nested multivariate max‐stable processes

Biometrics, 2019-09, Vol.75 (3), p.831-841

2019

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Short-Term Wind Speed Forecasting for Power System Operations

International statistical review, 2012-04, Vol.80 (1), p.2-23

2012

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Diagonal likelihood ratio test for equality of mean vectors in high‐dimensional data

Biometrics, 2019-03, Vol.75 (1), p.256-267

2019

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Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components

Journal of the American Statistical Association, 2012-03, Vol.107 (497), p.180-193

2012

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Cross-Covariance Functions for Multivariate Geostatistics

Tukey g-and-h Random Fields

Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere

Functional Boxplots

Spherical Process Models for Global Spatial Statistics

Factor Copula Models for Replicated Spatial Data

Modeling the Convective Boundary Layer in the Terra Incognita: Evaluation of Different Strategies with Real-Case Simulations

Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks

Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors

High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes

Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields

Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression

Sparse Functional Boxplots for Multivariate Curves

HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification

A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data

Non-Stationary Dependence Structures for Spatial Extremes

Covariance Tapering for Interpolation of Large Spatial Datasets

Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms

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

Are You All Normal? It Depends

Stationary nonseparable space-time covariance functions on networks

Bayesian modeling of air pollution extremes using nested multivariate max‐stable processes

Short-Term Wind Speed Forecasting for Power System Operations

Diagonal likelihood ratio test for equality of mean vectors in high‐dimensional data

Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components

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