IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions
Abstract
Bhattacharya (2021b) has introduced a novel methodology for generating iid realizations from any target distribution on the Euclidean space, irrespective of dimensionality. In this article, our purpose is two-fold. We first extend the method for obtaining iid realizations from general multimodal distributions, and illustrate with a mixture of two 50-dimensional normal distributions. Then we extend the iid sampling method for fixed-dimensional distributions to variable-dimensional situations and illustrate with a variable-dimensional normal mixture modeling of the well-known "acidity data", with further demonstration of the applicability of the iid sampling method developed for multimodal distributions.
Cite
@article{arxiv.2109.12633,
title = {IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions},
author = {Sourabh Bhattacharya},
journal= {arXiv preprint arXiv:2109.12633},
year = {2021}
}
Comments
An updated version after fixing some typos in the paper and code