Applications appearing in our Bayesian Effect Selection paper
All results where obtained via BayesX.
- Housing Prices
- Nigeria Undernutrition
- Patent Data
- Simulated Recomposed Effect Samples
Effect Selection in hierarchical location-scale model with spatial heterogeneity
Data is not available publicly, unfortunately.
Effect Selection for predictors of all parameters (mu1, mu2, sigma1, sigma2, rho) in bivariate Gaussian location-scale model of undernutrition scores
Data is not available publicly, unfortunately.
Effect Selection for predictors of lambda and pi in zero-inflated Poisson model on patent citation data. Calculates various (proper) scores for 10-Fold CV. Data is available.
Simulates data for effect selection in simple Gaussian mean model and plots recomposed effect estimates on basis of linear samples and samples of nonlinear deviations.