1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ME2026
A new Bernstein-binomial model for fitting finite discrete data with over-dispersion: Likelihood-based and Bayesian approaches
Yuan-Fan ZHAO, Yikai GUO, Xun-Jian LI +2
Finite discrete count data are ubiquitous in fields such as biomedicine and social sciences and these data frequently exhibit over-dispersion, rendering the binomial distribution i…
math.NA2022★ 1 cited
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence
Xun-Jian Li, Hua Zhou, Kenneth Lange +1
In this paper, we propose a new and broadly applicable root-finding method, called as the upper-crossing/solution (US) algorithm, which belongs to the category of non-bracketing (o…