Systematic Bayesian posterior analysis guided by Kullback-Leibler divergence facilitates hypothesis formation.

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Bibliographic Details
Title: Systematic Bayesian posterior analysis guided by Kullback-Leibler divergence facilitates hypothesis formation.
Authors: Huber HA; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA., Georgia SK; Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Finley SD; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: sfinley@usc.edu.
Source: Journal of theoretical biology [J Theor Biol] 2023 Feb 07; Vol. 558, pp. 111341. Date of Electronic Publication: 2022 Nov 03.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0376342 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8541 (Electronic) Linking ISSN: 00225193 NLM ISO Abbreviation: J Theor Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8541
DOI:10.1016/j.jtbi.2022.111341