arXiv stat.ML
· Papers
Differentiability and Approximation of Probability Functions under Gaussian Mixture Models
arXiv:2411.02721v2 Announce Type: replace-cross Abstract: In this work, we study probability functions associated with Gaussian mixture models. Our primary focus is on extending the use of spherical radial decomposition for multivariate Gaussian random vectors to the context of Gaussian mixture models, which are not in