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Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1050-1062

2019

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full scale approximation of covariance functions for large spatial data sets

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2012-01, Vol.74 (1), p.111-132

2012

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Gaussian predictive process models for large spatial data sets

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2008-09, Vol.70 (4), p.825-848

2008

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Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (23), p.5995

2022

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Hierarchical modeling for extreme values observed over space and time

Environmental and ecological statistics, 2009-09, Vol.16 (3), p.407-426

2009

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Improving the performance of predictive process modeling for large datasets

Computational statistics & data analysis, 2009-06, Vol.53 (8), p.2873-2884

2009

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COVID-19: Short term prediction model using daily incidence data

PloS one, 2021-04, Vol.16 (4), p.e0250110-e0250110

2021

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COVARIANCE APPROXIMATION FOR LARGE MULTIVARIATE SPATIAL DATA SETS WITH AN APPLICATION TO MULTIPLE CLIMATE MODEL ERRORS

The annals of applied statistics, 2011-12, Vol.5 (4), p.2519-2548

2011

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Performance of Cloud 3D Solvers in Ice Cloud Shortwave Radiation Closure Over the Equatorial Western Pacific Ocean

Journal of advances in modeling earth systems, 2022-02, Vol.14 (2), p.n/a

2022

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On the likelihood function of Gaussian max-stable processes

Biometrika, 2011-06, Vol.98 (2), p.481-488

2011

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Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning

IEEE transactions on vehicular technology, 2017-04, Vol.66 (4), p.3143-3157

2017

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Physical Activity Impacts of an Activity-Friendly Community: A Natural Experiment Study Protocol

Frontiers in public health, 2022-06, Vol.10, p.929331

2022

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A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees

Journal of the American Statistical Association, 2024-07, Vol.119 (547), p.2105-2116

2024

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Fused spatial point process intensity estimation with varying coefficients on complex constrained domains

Spatial statistics, 2021-12, Vol.46, p.100547, Article 100547

2021

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Park Characteristics and Changes in Park Visitation before, during, and after COVID-19 Shelter-in-Place Order

Sustainability, 2022-03, Vol.14 (6), p.3579

2022

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SMOOTHED FULL-SCALE APPROXIMATION OF GAUSSIAN PROCESS MODELS FOR COMPUTATION OF LARGE SPATIAL DATA SETS

Statistica Sinica, 2020, Vol.29 (4), p.1711-1737

2020

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Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach

Econometrics and statistics, 2024-06

2024

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Efficient learning of statistical primary patterns via Bayesian network

2015 IEEE International Conference on Communications (ICC), 2015, p.4871-4876

2015

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Bayesian Spatial Homogeneity Pursuit of Functional Data: An Application to the U.S. Income Distribution

Bayesian analysis, 2023-06, Vol.18 (2)

2023

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Nursing Home Design and COVID-19: Implications for Guidelines and Regulation

Journal of the American Medical Directors Association, 2022-02, Vol.23 (2), p.272-279.e1

2022

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FULL-SCALE APPROXIMATIONS OF SPATIO-TEMPORAL COVARIANCE MODELS FOR LARGE DATASETS

Statistica Sinica, 2015-01, Vol.25 (1), p.99-114

2015

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On approximating optimal weighted composite likelihood method for spatial models

Stat (International Statistical Institute), 2018, Vol.7 (1), p.n/a

2018

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Sparse spatially clustered coefficient model via adaptive regularization

Computational statistics & data analysis, 2023-01, Vol.177, p.107581-107581, Article 107581

2023

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Quantify the continuous dependence of SST‐turbulent heat flux relationship on spatial scales

Geophysical research letters, 2017-06, Vol.44 (12), p.6326-6333

2017

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Beyond the school grounds: Links between density of tree cover in school surroundings and high school academic performance

Urban forestry & urban greening, 2019-02, Vol.38, p.42-53

2019

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Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets

full scale approximation of covariance functions for large spatial data sets

Gaussian predictive process models for large spatial data sets

Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data

Hierarchical modeling for extreme values observed over space and time

Improving the performance of predictive process modeling for large datasets

COVID-19: Short term prediction model using daily incidence data

COVARIANCE APPROXIMATION FOR LARGE MULTIVARIATE SPATIAL DATA SETS WITH AN APPLICATION TO MULTIPLE CLIMATE MODEL ERRORS

Performance of Cloud 3D Solvers in Ice Cloud Shortwave Radiation Closure Over the Equatorial Western Pacific Ocean

On the likelihood function of Gaussian max-stable processes

Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning

Physical Activity Impacts of an Activity-Friendly Community: A Natural Experiment Study Protocol

A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees

Fused spatial point process intensity estimation with varying coefficients on complex constrained domains

Park Characteristics and Changes in Park Visitation before, during, and after COVID-19 Shelter-in-Place Order

SMOOTHED FULL-SCALE APPROXIMATION OF GAUSSIAN PROCESS MODELS FOR COMPUTATION OF LARGE SPATIAL DATA SETS

Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach

Efficient learning of statistical primary patterns via Bayesian network

Bayesian Spatial Homogeneity Pursuit of Functional Data: An Application to the U.S. Income Distribution

Nursing Home Design and COVID-19: Implications for Guidelines and Regulation

FULL-SCALE APPROXIMATIONS OF SPATIO-TEMPORAL COVARIANCE MODELS FOR LARGE DATASETS

On approximating optimal weighted composite likelihood method for spatial models

Sparse spatially clustered coefficient model via adaptive regularization

Quantify the continuous dependence of SST‐turbulent heat flux relationship on spatial scales

Beyond the school grounds: Links between density of tree cover in school surroundings and high school academic performance

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