Model Selection for Mixed-Effects Location-Scale Models with Confidence Interval for LOO or WAIC Difference.

• Tác giả: Fan Fang, Hongyun Liu, Yue Liu
• Ngôn ngữ: eng
• Ký hiệu phân loại: 384.55455 Wireless communication
• Thông tin xuất bản: United States : Multivariate behavioral research , 2025
• Bộ sưu tập: NCBI
• ID: 185836

Tóm tắt

LOO (Leave-One-Out cross-validation) and WAIC (Widely Applicable Information Criterion) are widely used for model selection in Bayesian statistics. Most studies select the model with the smallest value based on point estimates, often without considering the differences in fit indices or the uncertainty of the estimates. To address this gap, we propose a sequential method for comparing models based on confidence intervals for