Superset model problem

TL;DR

This paper investigates the superset model problem in regression, proposing a Bayesian approach to quantify uncertainty, supported by a real dataset example.

Contribution

It introduces a Bayesian method specifically designed to handle the superset model problem in regression analysis.

Findings

Bayesian approach effectively measures uncertainty in the superset model.

Application to real data demonstrates practical utility.

Provides insights into model behavior in regression contexts.

Abstract

This paper focuses on the superset model problem that arises in the context of regression. To address this problem, we take the Bayesian approach to measure its uncertainty. An illustrative example with the real dataset is provided.