Bayesian taut splines for estimating the number of modes

arXiv:2307.05825v3 Announce Type: replace-cross
Abstract: The number of modes in a probability density function is representative of the complexity of a model and can also be viewed as the number of subpopulations. Despite its relevance, there has been limited research in this area. A novel approach to estimating the number of modes in the univariate setting is presented, focusing on prediction accuracy and inspired by some overlooked aspects of the problem: the need for structure in the solutions, the subjective …

abstract arxiv bayesian complexity cs.lg function math.st novel probability research stat.me stat.ml stat.th type