Abstract: In this letter, we investigate channel estimation in integrated sensing and communication and propose a joint sparse Bayesian learning (JSBL) algorithm for the estimation of sensing and ...
Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...
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 ...
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 ...
I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...
An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
For more than a decade, NASA’s Cassini spacecraft traced Saturn’s rings and moons, returning some of the most detailed ...
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 ...
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