Evaluating epidemic forecasts in an interval format

View Publication
Abstract:
No abstract specified

SEEK ID: https://publications.h-its.org/publications/1406

Filename: 2021PCBI.pdf 

Format: PDF document

Size: 1.89 MB

SEEK ID: https://publications.h-its.org/publications/1406

DOI: 10.1371/journal.pcbi.1008618

Research Groups: Computational Statistics

Publication type: Journal

Journal: PLOS Computational Biology

Publisher: Public Library of Science (PLoS)

Citation: PLOS Computational Biology, 17(2):e1008618

Date Published: 12th Feb 2021

URL:

Registered Mode: manually

Authors: Johannes Bracher, Evan L. Ray, Tilmann Gneiting, Nicholas G. Reich

Citation
Bracher, J., Ray, E. L., Gneiting, T., & Reich, N. G. (2021). Evaluating epidemic forecasts in an interval format. In V. E. Pitzer (Ed.), PLOS Computational Biology (Vol. 17, Issue 2, p. e1008618). Public Library of Science (PLoS). https://doi.org/10.1371/journal.pcbi.1008618
Activity

Views: 4163   Downloads: 1

Created: 13th Dec 2021 at 13:50

Last updated: 8th Mar 2024 at 14:00

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
 (v.1.15.2)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH