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 ...
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 ...
Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
Abstract: This paper introduces a novel Bayesian approach to detect changes in the variance of a Gaussian sequence model, focusing on quantifying the uncertainty in the change point locations and ...
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 ...
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