The likelihood function plays a crucial role in statistical inference and experimental design. However, it is computationally intractable for several important classes of statistical models …
H Rahaman, D Barik - Royal Society Open Science, 2023 - royalsocietypublishing.org
Agent-based models have been proven to be quite useful in understanding and predicting the SARS-CoV-2 virus-originated COVID-19 infection. Person-to-person contact was …
Agent-based models (ABMs) offer valuable insights into disease dynamics and assist decision-makers in evaluating intervention strategies for disease outbreaks. Human health …
The dynamic mechanism of the COVID-19 pandemic has been studied for disease prevention and health protection through areal unit-based log-linear Poisson processes to …
The recent pandemic of COVID-19 renewed interest in epidemic models, with the scope of prediction and finding strategies to reduce mortality. Many models focus on single countries …