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Computational and statistical analysis of metabolomics data

Metabolomics, 2015-12, Vol.11 (6), p.1492-1513

2015

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Traffic restrictions during the 2008 Olympic Games reduced urban heat intensity and extent in Beijing

Communications earth & environment, 2022-12, Vol.3 (1), p.1-10, Article 105

2022

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Fixed Rank Filtering for Spatio-Temporal Data

Journal of computational and graphical statistics, 2010-09, Vol.19 (3), p.724-745

2010

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A Fused Gaussian Process Model for Very Large Spatial Data

Journal of computational and graphical statistics, 2020-07, Vol.29 (3), p.479-489

2020

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Improving MODIS snow products with a HMRF-based spatio-temporal modeling technique in the Upper Rio Grande Basin

Remote sensing of environment, 2018-01, Vol.204, p.568-582

2018

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Bayesian Inference for the Spatial Random Effects Model

Journal of the American Statistical Association, 2011-09, Vol.106 (495), p.972-983

2011

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Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations

Journal of agricultural, biological, and environmental statistics, 2023-09, Vol.28 (3), p.423-441

2023

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Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks

Statistics and computing, 2019-09, Vol.29 (5), p.1165-1179

2019

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Spatio-temporal Cokriging method for assimilating and downscaling multi-scale remote sensing data

Remote sensing of environment, 2021-03, Vol.255, p.112190, Article 112190

2021

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Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments

Technometrics, 2022-01, Vol.64 (1), p.65-79

2022

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MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression

Statistics and computing, 2020-03, Vol.30 (2), p.291-304

2020

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Hot Enough for You? A Spatial Exploratory and Inferential Analysis of North American Climate-Change Projections

Mathematical geosciences, 2016-02, Vol.48 (2), p.107-121

2016

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Filtering Partially Observed Multiscale Systems with Heterogeneous Multiscale Methods―Based Reduced Climate Models

Monthly weather review, 2012-03, Vol.140 (3), p.860-873

2012

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Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments

Technometrics, 2019-07, Vol.61 (3), p.322-340

2019

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Bayesian Hierarchical ANOVA of Regional Climate-Change Projections from NARCCAP Phase II

International journal of applied earth observation and geoinformation, 2013-06, Vol.22 (C), p.3-15

2013

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Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm – DisALEXI

International journal of applied earth observation and geoinformation, 2020-07, Vol.89, p.102088, Article 102088

2020

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Filtering nonlinear spatio-temporal chaos with autoregressive linear stochastic models

Physica. D, 2012-06, Vol.241 (12), p.1099-1113

2012

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Smoothing splines for trend estimation and prediction in time series

Environmetrics (London, Ont.), 2009-05, Vol.20 (3), p.249-259

2009

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Using temporal variability to improve spatial mapping with application to satellite data

Canadian journal of statistics, 2010-06, Vol.38 (2), p.271-289

2010

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Spatial data fusion for large non‐Gaussian remote sensing datasets

Stat (International Statistical Institute), 2017, Vol.6 (1), p.390-404

2017

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Ecosystem responses to elevated CO2 using airborne remote sensing at Mammoth Mountain, California

Biogeosciences, 2018-12, Vol.15 (24), p.7403-7418

2018

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Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models

Computational statistics & data analysis, 2009-06, Vol.53 (8), p.3016-3032

2009

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Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model

Applied statistics, 2012-03, Vol.61 (2), p.291-313

2012

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Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments

Environmetrics (London, Ont.), 2020-03, Vol.31 (2), p.n/a

2020

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Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets

Environmetrics (London, Ont.), 2024-06, Vol.35 (4), p.n/a

2024

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Computational and statistical analysis of metabolomics data

Traffic restrictions during the 2008 Olympic Games reduced urban heat intensity and extent in Beijing

Fixed Rank Filtering for Spatio-Temporal Data

A Fused Gaussian Process Model for Very Large Spatial Data

Improving MODIS snow products with a HMRF-based spatio-temporal modeling technique in the Upper Rio Grande Basin

Bayesian Inference for the Spatial Random Effects Model

Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations

Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks

Spatio-temporal Cokriging method for assimilating and downscaling multi-scale remote sensing data

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments

MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression

Hot Enough for You? A Spatial Exploratory and Inferential Analysis of North American Climate-Change Projections

Filtering Partially Observed Multiscale Systems with Heterogeneous Multiscale Methods―Based Reduced Climate Models

Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments

Bayesian Hierarchical ANOVA of Regional Climate-Change Projections from NARCCAP Phase II

Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm – DisALEXI

Filtering nonlinear spatio-temporal chaos with autoregressive linear stochastic models

Smoothing splines for trend estimation and prediction in time series

Using temporal variability to improve spatial mapping with application to satellite data

Spatial data fusion for large non‐Gaussian remote sensing datasets

Ecosystem responses to elevated CO2 using airborne remote sensing at Mammoth Mountain, California

Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models

Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model

Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments

Recursive nearest neighbor co‐kriging models for big multi‐fidelity spatial data sets

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