Modeling, Analysis, and Optimization for Mathematical Finance, Economics, and Risks is a critical domain that integrates mathematical theory with practical applications to address the complexities of modern financial and economic systems. This special issue focuses on recent studies that are...

Markov chain Monte Carlo (MCMC)-based simulation approaches are by far the most common method in Bayesian inference to access the posterior distribution. Recently, motivated by successes in machine learning, variational inference (VI) has gained in interest in statistics since it promises a...

This text evaluates the empirical models of the Term Structure of Interest Rates (TSIR), comparing the resulting estimates regarding goodness-of-fit, robustness to outliers, and smoothness. In addition to the descriptive statistics on these metrics, the Friedman test and the multiple comparison...