Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

A new KAUST-developed workflow helps researchers efficiently test and validate the assumptions underlying complex statistical models to ensure more reliable results.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Researchers have created a statistical method that may allow public health and infectious disease forecasters to better predict disease reemergence, especially for preventable childhood infections ...