2 papers
stat.ME2026
Bayesian Time-Varying Meta-Analysis via Hierarchical Mean-Variance Random-effects Models
Kohsuke Kubota, Shonosuke Sugasawa, Keiichi Ochiai +1
Meta-analysis is widely used to integrate results from multiple experiments to obtain generalized insights. Since meta-analysis datasets are often heteroscedastic due to varying su…
cs.DL2025
A Causal Inference Approach for Quantifying Research Impact
Keiichi Ochiai, Yutaka Matsuo
Deep learning has had a great impact on various fields of computer science by enabling data-driven representation learning in a decade. Because science and technology policy decisi…