Open AccessProbabilistic Programming Method for Time-Series Forecasting of COVID-19 Cases Based on Empirical Data
Author(s) -
Matti Pärssinen,
Ilkka Sillanpää,
Mikko Kotila
Publication year - 2021
Publication title -
american journal of epidemiology and infectious disease
Language(s) - English
Resource type - Journals
eISSN - 2333-1275
pISSN - 2333-116X
DOI - 10.12691/ajeid-9-1-4
Subject(s) - probabilistic logic , computer science , bayesian probability , transparency (behavior) , time series , bayesian inference , pandemic , data mining , inference , statistical inference , covid-19 , machine learning , operations research , artificial intelligence , statistics , mathematics , infectious disease (medical specialty) , medicine , computer security , disease , pathology