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 ...
Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
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 ...
Four billion years ago, Earth was violent, hot, and unstable. Yet new research suggests that by then, life had already ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
An analysis by Shinshu University and the Distribution Economics Institute of Japan shows that wholesale prices for ...
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 ...
An analysis by Shinshu University and the Distribution Economics Institute of Japan shows that wholesale prices for ...
Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study investigated the spatial and temporal patterns of notification rates for asthma from ...
Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral credit-risk model that integrates ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results