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 paper introduces a new approach to single image blind deblurring via Bayesian estimation using expected loss, diverging from traditional maximum a posteriori (MAP) estimation methods ...

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 ...

An analysis by Shinshu University and the Distribution Economics Institute of Japan shows that wholesale prices for ...

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

There are already tens of thousands of pieces of large debris in orbit, some of which pose a threat to functional satellites.

Abstract: The Bayesian Cramér-Rao bound (CRB) provides a lower bound on the mean square error of any Bayesian estimator under mild regularity conditions. It can be ...

Under certain rather prevalent conditions (driven by dynamical orbital evolution), a hierarchical triple stellar system can be well approximated, from the standpoint of orbital parameter estimation, ...

The body of the vessel’s cook was recovered while divers searched the hull of the Bayesian for passengers, including the tech entrepreneur Mike Lynch. By Elisabetta Povoledo Deep-sea divers with Italy ...