3 papers
stat.CO2026
Discretization approximation: An alternative to Monte Carlo in Bayesian computation
Shifeng Xiong
In this paper we propose a new deterministic approximation method, called discretization approximation, for Bayesian computation. Discretization approximation is very simple to und…
stat.ME2025
Nonparametric inference with massive data via grouped empirical likelihood
Yongda Wang, Shifeng Xiong
To address the computational issue in empirical likelihood methods with massive data, this paper proposes a grouped empirical likelihood (GEL) method. It divides observations i…
stat.ME2024
A unified framework of principal component analysis and factor analysis
Shifeng Xiong
Principal component analysis and factor analysis are fundamental multivariate analysis methods. In this paper a unified framework to connect them is introduced. Under a general lat…