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 real-world data of power networks is often inaccessible due to privacy and security concerns, highlighting the need for tools to generate realistic synthetic network data. Existing methods ...

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

Every Tuesday at 11:05 a.m., students, faculty, staff and the greater BYU community attend the weekly devotional or forum address in the Marriott Center.

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral credit-risk model that integrates ...

Abstract: Depression is the most prevalent mental health disorder, which is spreading like an epidemic. With the rise of the internet, people from all over the world now express their daily lives on ...

The universe is expanding, but astronomers still cannot agree on exactly how fast. That mismatch, known as the Hubble tension, has turned a seemingly simple number into one of the biggest headaches in ...