Proposes an adaptive generalized elliptical slice sampling algorithm that improves efficiency on non-elliptical, non-differentiable, multi-modal and high-dimensional targets and proves ergodicity under general regularity conditions.
Journal of the American Statistical Association , volume=
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A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.
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Adaptive Generalized Elliptical Slice Sampling
Proposes an adaptive generalized elliptical slice sampling algorithm that improves efficiency on non-elliptical, non-differentiable, multi-modal and high-dimensional targets and proves ergodicity under general regularity conditions.
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Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.