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04/05/2023
A Class of Models for Large Zero-inflated Spatial Data
Spatially correlated data with an excess of zeros, usually referred to a...
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03/01/2023
A Shared Component Point Process Model for Urban Policing
Newly available point-level datasets allow us to relate police use of fo...
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03/02/2022
Flood hazard model calibration using multiresolution model output
Riverine floods pose a considerable risk to many communities. Improving ...
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10/18/2021
A Space-time Model for Inferring A Susceptibility Map for An Infectious Disease
Motivated by foot-and-mouth disease (FMD) outbreak data from Turkey, we ...
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09/10/2021
Diagnostics for Monte Carlo Algorithms for Models with Intractable Normalizing Functions
Models with intractable normalizing functions have numerous applications...
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08/10/2021
A Two-Stage Cox Process Model with Spatial and Nonspatial Covariates
There are rich new marked point process data that allow researchers to s...
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12/05/2019
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models
Hierarchical spatial models are very flexible and popular for a vast arr...
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10/22/2019
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Monte Carlo maximum likelihood (MCML) provides an elegant approach to fi...
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09/12/2019
Fast expectation-maximization algorithms for spatial generalized linear mixed models
Spatial generalized linear mixed models (SGLMMs) are popular and flexibl...
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07/31/2019
Ice Model Calibration Using Semi-continuous Spatial Data
Rapid changes in Earth's cryosphere caused by human activity can lead to...
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03/24/2019
A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet
We consider the scientifically challenging and policy-relevant task of u...
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10/15/2018
Computer model calibration based on image warping metrics: an application for sea ice deformation
Arctic sea ice plays an important role in the global climate. Sea ice mo...
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06/20/2018
