
Enhancing long-term forecasting: Learning from COVID-19 models
Author(s) -
Hazhir Rahmandad,
Ran Xu,
Navid Ghaffarzadegan
Publication year - 2022
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010100
Subject(s) - leverage (statistics) , randomness , term (time) , computer science , predictive power , econometrics , artificial intelligence , predictive modelling , covid-19 , machine learning , pandemic , exponential growth , set (abstract data type) , statistics , mathematics , medicine , mathematical analysis , philosophy , pathology , quantum mechanics , infectious disease (medical specialty) , programming language , physics , disease , epistemology