This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

A new analysis of millions of social media posts across seven different platforms reveals that the relationship between ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Objective This study aims to assess the prevalence of cancer risk factors in China’s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.

Introduction Compared with other high-income countries, the USA continues to have the highest rates of pregnancy-related and associated mortality and morbidity (PRAMM), particularly in rural areas and ...

More than a dozen staffers left the Heritage Foundation and joined Advancing American Freedom (AAF), founded by former Vice ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Abstract: Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Abstract: This study introduces a simple statistical model for the multichannel signal-to-noise ratio (mSNR) for indoor and broadband power line communication (PLC) systems. Additionally, closed-form ...