Výsledky vyhledávání - "Porter, Erica"

Dissertation/ Thesis

Bayesian Model Selection for Spatial Data and Cost-constrained Applications

Autor: Porter, Erica May

Bayesian model selection is a useful tool for identifying an appropriate model class, dependence structure, and valuable predictors for a wide variety of applications. In this work we consider objective Bayesian model selection where no subjective in

Externí odkaz: http://hdl.handle.net/10919/115642

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Report

Flexible cost-penalized Bayesian model selection: developing inclusion paths with an application to diagnosis of heart disease

Autor: Porter, Erica M., Franck, Christopher T., Adams, Stephen

We propose a Bayesian model selection approach that allows medical practitioners to select among predictor variables while taking their respective costs into account. Medical procedures almost always incur costs in time and/or money. These costs migh

Externí odkaz: http://arxiv.org/abs/2305.06262

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Dissertation/ Thesis

Applying an Intrinsic Conditional Autoregressive Reference Prior for Areal Data

Autor: Porter, Erica May

Bayesian hierarchical models are useful for modeling spatial data because they have flexibility to accommodate complicated dependencies that are common to spatial data. In particular, intrinsic conditional autoregressive (ICAR) models are commonly as

Externí odkaz: http://hdl.handle.net/10919/91385

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