Human judgment of the temporal order of two sensory signals is liable to change depending on our prior experiences. Previous studies have reported that signals presented at short intervals but in the ...

The calibration of radiocarbon measurements is based on a number of mathematical assumptions that are rarely considered by users of the various available calibration programs. As 14C ages take on ...

In Bayesian divergence time estimation methods, incorporating calibrating information from the fossil record is commonly done by assigning prior densities to ancestral nodes in the tree. Calibration ...

A new Bayesian calibration framework enhances prediction accuracy for digital twins in semiconductor material handling systems BUSAN, South Korea, July 22, 2025 /PRNewswire/ -- To handle growing ...

The authors consider a general calibration problem for derivative pricing models, which they reformulate into a Bayesian framework to attain posterior distributions for model parameters. They then ...

This innovative framework accounts for both parameter uncertainty and discrepancy, key issues that affect prediction accuracy of digital twins of automated material handling systems in semiconductor ...