Manasi Sanjay Ghosalkar
College of Engineering
Works (1)
Updated: April 11th, 2023 10:13
2023 journal article
Bayesian analysis of nonparanormal graphical models using rank-likelihood
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 222, 195–208.
author keywords: Horseshoe prior; Gaussian copula graphical models; Structure learning; Semiparametric model
TL;DR:
A Bayesian approach is considered for the nonparanormal graphical model using a rank-likelihood which remains invariant under monotone transformations, thereby avoiding the need to put a prior on the transformation functions.
(via Semantic Scholar)
arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 1, 2022
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
