Bayesian Adaptive Sparse Copula
This paper introduces a multivariate sparse multiscale Bernstein polynomial model for copula dependence structures, utilizing a Bayesian spike‑and‑slab prior. The method enhances efficiency by preserving significant components, reducing computational demands, and enabling practical applications in multivariate density estimation, particularly for financial risk forecasting.