A comparative study of simulation-based inference methods for epidemic models with identifiability considerations.
Saved in:
| Title: | A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. |
|---|---|
| Authors: | Jang G; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America., Candan KS; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America., Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.; Department of Applied Mathematics, Kyung Hee University, Yongin, Korea. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jun 02; Vol. 22 (6), pp. e1014364. Date of Electronic Publication: 2026 Jun 02 (Print Publication: 2026). |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
