Jinye Du

Penalized empirical likelihood over decentralized networks

2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)

Abstract Empirical likelihood encounters serious computational challenges when applied to massive datasets or multiple data sources distributed across decentralized networks. This paper proposes a constrained empirical likelihood framework for decentralized networks, utilizing a novel penalization …