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 ...

The Power Grid Model DS project extends the capabilities of the power-grid-model calculation core with a modelling and simulation interface. This is aimed at building data science software ...

Abstract: Traditional approaches to subjective image quality assessment often rely on Mean Opinion Scores (MOS), which overlook individual differences among observers. This study addresses this ...

A black-box marketing-mix model's (MMM) data was not sufficient for Columbia Sportswear's Mountain Hardwear brand to make real-time media-buying decisions as campaigns ran. So Drew Schneier, the ...

Abstract: In this paper, we investigate the problem of spatial non-stationary channel estimation for near-field extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Specifically, we ...

HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases. In KwaZulu-Natal, where HIV prevalence peaks ...

When Meta broke ground last year on its data center in Rosemount, Minn., about 15 miles south of Minneapolis and St. Paul, the social media giant faced a concrete paradox: the material’s carbon burden ...

Marketing mix models or Media mix models are used to understand how media spending affects sales, so as to optimize future budget allocation. These models are usually based on weekly or monthly ...

Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint proteins known as transcriptional regulators that control how genes turn on ...

An artificial intelligence safety firm has found that OpenAI's o3 and o4-mini models sometimes refuse to shut down, and will sabotage computer scripts in order to keep working on tasks. When you ...