Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...

The six-vertex model is a paradigmatic framework in statistical mechanics, originally introduced to capture the essential physics of ice-type systems. By assigning one of six allowed configurations to ...