This tutorial component includes defining priors based on literature and performing a sensitivity analysis to test for potential misspecification or bias. For readers new to Bayesian statistics, the ...

Abstract: The stringent requirements on reliability and processing delay in the fifth-generation (5G) cellular networks introduce considerable challenges in the design of massive ...

2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China Objective To demonstrate an application of Bayesian model averaging (BMA) with generalised additive ...

Overall, 71.4% of studies reported non-significant primary outcomes, with an increasing trend observed over time. Conclusion: Bayesian analysis offers a useful framework for interpreting "negative ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Healthcare decisions should be based on all relevant evidence.1 Usually, this is provided by randomised controlled trials (RCTs) comparing two or more interventions for a condition affecting a target ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

A metadata commons to store research software metadata - arash77/research-software-ecosystem-content ...

Orthogonal Frequency Division Multiplexing,Time Slot,Base Station,Optimization Problem,Wireless Networks,Additive Noise,Channel Estimation,Communication Systems,User ...