Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...
The main concern of this paper is the symmetric multiple comparisons problem of simultaneously testing the differences between several sample (treatment) means taken in all possible pairs. Past and ...
We develop a Bayesian approach for monitoring and graphically exploring a process mean and informing decisions related to process adjustment. We assume a rather ...
We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...
This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...
2021 DEC 27 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on Risk Management is the subject of a report. According to news reporting from Brisbane, Australia, ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
A 51-year-old female with a previous history of Hashimoto's disease presented with a right neck mass. The mass was thought to involve the thyroid gland. An initial fine needle aspirate was ...
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