English

IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions

Methodology 2021-12-16 v2 Computation

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.

Keywords

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

R2 v1 2026-06-24T06:20:40.121Z