[HTML][HTML] Application of harmony search algorithm in optimizing autoregressive integrated moving average: A study on a data set of Coronavirus Disease 2019

R Karmakar, S Chatterjee, D Datta… - Systems and Soft …, 2024 - Elsevier
Abstract World Health Organization (WHO) declared Coronavirus Disease 2019 (COVID-
19), caused by the virus named Severe Acute Respiratory Syndrome Corona Virus-2 (SARS …

A retrospective assessment of COVID-19 model performance in the USA

KJ Colonna, GF Nane, EF Choma… - Royal Society …, 2022 - royalsocietypublishing.org
Coronavirus disease 2019 (COVID-19) forecasts from over 100 models are readily
available. However, little published information exists regarding the performance of their …

Short-term Covid-19 forecast for latecomers

MC Medeiros, A Street, D Valladão… - International journal of …, 2022 - Elsevier
The number of new Covid-19 cases is still high in several countries, despite vaccination
efforts. A number of countries are experiencing new and severe waves of infection …

Survey density forecast comparison in small samples

L Coroneo, F Iacone, F Profumo - International journal of forecasting, 2024 - Elsevier
We apply fixed-b and fixed-m asymptotics to tests of equal predictive accuracy and of
encompassing for survey density forecasts. We verify in an original Monte Carlo design that …

Predictive ability tests with possibly overlapping models

V Corradi, J Fosten, D Gutknecht - Journal of Econometrics, 2024 - Elsevier
This paper provides novel tests for comparing out-of-sample predictive ability of two or more
competing models that are possibly overlapping. The tests do not require pre-testing, they …

[HTML][HTML] Real-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic model

A Massey, C Boennec, CX Restrepo-Ortiz… - PLOS Computational …, 2024 - journals.plos.org
Projects such as the European Covid-19 Forecast Hub publish forecasts on the national
level for new deaths, new cases, and hospital admissions, but not direct measurements of …

Time series forecasting of the COVID-19 pandemic: a critical assessment in retrospect

M Güngör - Alphanumeric Journal, 2023 - dergipark.org.tr
The COVID-19 pandemic is perceived by many to have run its course, and forecasting its
progress is no longer a topic of much interest to policymakers and researchers as it once …

Risk, Uncertainty, and Decision Making: Insights from Ambient PM2. 5 and COVID-19 Case Studies

KJ Colonna - 2023 - search.proquest.com
Risk assessment is the art and science of estimating risk based on the evidence which is
currently available. It seeks to characterize the state of knowledge and, to the extent …

A Postmortem Analysis of COVID-19 Ensemble Forecasts: Forward or Sticky Information?

J Pang - 2023 - search.proquest.com
This study conducts a postmortem analysis to evaluate the overall forecasting performance
of a large number of pandemic transmission models for COVID-19 mortality. For a …

[PDF][PDF] Density forecast comparison in small samples Laura Coroneo, Fabrizio Iacone and Fabio Profumo

L Coroneo - york.ac.uk
We apply fixed-b and fixed-m asymptotics to tests of equal predictive accuracy and of
encompassing for density forecasts. We verify in an original Monte Carlo design that fixed …