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Dimension reduction and alleviation of confounding for spatial generalized linear mixed models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2013-01, Vol.75 (1), p.139-159

2013

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Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods

Journal of quantitative criminology, 2021-06, Vol.37 (2), p.481-516

2021

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Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?

Statistical science, 2008-05, Vol.23 (2), p.250-260

2008

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Bayesian Spatial Models for Projecting Corn Yields

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (1), p.69

2024

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Fixed-Width Output Analysis for Markov Chain Monte Carlo

Journal of the American Statistical Association, 2006-12, Vol.101 (476), p.1537-1547

2006

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Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques

Geoscientific Model Development, 2016-05, Vol.9 (5), p.1697-1723

2016

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Bayesian Inference in the Presence of Intractable Normalizing Functions

Journal of the American Statistical Association, 2018-07, Vol.113 (523), p.1372-1390

2018

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Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making

PLoS biology, 2021-06, Vol.19 (6), p.e3001307-e3001307

2021

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Uncertainty analysis in climate change assessments

Nature climate change, 2013-09, Vol.3 (9), p.769-771

2013

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Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks

Earth's future, 2023-01, Vol.11 (1), p.n/a

2023

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Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models

Journal of computational and graphical statistics, 2021-10, Vol.30 (2), p.269-283

2021

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A Function Emulation Approach for Doubly Intractable Distributions

Journal of computational and graphical statistics, 2020-01, Vol.29 (1), p.66-77

2020

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PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models

Technometrics, 2022-04, Vol.64 (2), p.187-198

2022

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A class of models for large zero-inflated spatial data

Journal of agricultural, biological, and environmental statistics, 2024-04

2024

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A two-stage Cox process model with spatial and nonspatial covariates

Spatial statistics, 2022-10, Vol.51, p.100685, Article 100685

2022

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Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models

Journal of computational and graphical statistics, 2024-09, p.1-10

2024

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Multidecadal Scale Detection Time for Potentially Increasing Atlantic Storm Surges in a Warming Climate

Geophysical research letters, 2017-10, Vol.44 (20), p.10,617-10,623

2017

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A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models

Journal of computational and graphical statistics, 2018-10, Vol.27 (4), p.701-714

2018

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Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data

Journal of the American Statistical Association, 2016-03, Vol.111 (513), p.57-72

2016

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Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks

IEEE transactions on software engineering, 2007-05, Vol.33 (5), p.287-304

2007

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Spatial distribution and determinants of childhood vaccination refusal in the United States

Vaccine, 2023-05, Vol.41 (20), p.3189-3195

2023

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An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger

Vaccine, 2017-10, Vol.35 (43), p.5835-5841

2017

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Piecing together the past: statistical insights into paleoclimatic reconstructions

Quaternary science reviews, 2012-03, Vol.35, p.1-22

2012

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Precision maps for public health

Nature (London), 2018-03, Vol.555 (7694), p.32-33

2018

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The Impacts of Social Capital on Infant Mortality in the U.S.: A Spatial Investigation

Applied spatial analysis and policy, 2009-10, Vol.2 (3), p.211-227

2009

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Dimension reduction and alleviation of confounding for spatial generalized linear mixed models

Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods

Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?

Bayesian Spatial Models for Projecting Corn Yields

Fixed-Width Output Analysis for Markov Chain Monte Carlo

Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques

Bayesian Inference in the Presence of Intractable Normalizing Functions

Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making

Uncertainty analysis in climate change assessments

Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks

Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models

A Function Emulation Approach for Doubly Intractable Distributions

PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models

A class of models for large zero-inflated spatial data

A two-stage Cox process model with spatial and nonspatial covariates

Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models

Multidecadal Scale Detection Time for Potentially Increasing Atlantic Storm Surges in a Warming Climate

A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models

Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data

Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks

Spatial distribution and determinants of childhood vaccination refusal in the United States

An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger

Piecing together the past: statistical insights into paleoclimatic reconstructions

Precision maps for public health

The Impacts of Social Capital on Infant Mortality in the U.S.: A Spatial Investigation

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