Bayesian inference using qualitative observations of underlying continuous variables | Zendy

Eshan D. Mitra | Zendy; William S. Hlavacek | Zendy

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Bayesian inference using qualitative observations of underlying continuous variables

Author(s) -

Eshan D. Mitra,

William S. Hlavacek

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa084

Subject(s) - markup language , computer science , inference , parameterized complexity , bayesian probability , bayesian inference , experimental data , data mining , algorithm , artificial intelligence , statistics , mathematics , xml , operating system

Recent work has demonstrated the feasibility of using non-numerical, qualitative data to parameterize mathematical models. However, uncertainty quantification (UQ) of such parameterized models has remained challenging because of a lack of a statistical interpretation of the objective functions used in optimization.

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