This article revisits the spherical-Dirichlet distribution (SDD) introduced by Guardiola (2020) and clarifies the correction to its density presented in an earlier version of this preprint. The principal issue concerns Equation (3) of the original publication, which expresses the density in local Euclidean coordinates rather than with respect to spherical surface-area measure. We derive the corrected intrinsic density and revisit its moments, covariance matrix, mode, and limiting properties. We show that the two density representations describe the same probability distribution, preserving the moment formulas and likelihood-based parameter estimation. However, the mode and uniformity conditions depend on the reference measure and require corresponding clarification. Reported simulation and text mining estimates are revisited and updated. The resulting presentation reconciles the original construction with its intrinsic spherical properties.

翻译：暂无翻译