In this tutorial, we illustrate the procedures for conducting a network meta-analysis for binary outcomes data in the Bayesian framework using example data. Our goal is to describe the workflow of ...

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional ...

This is a lightweight repository of bayesian neural network for PyTorch. @article{lee2022graddiv, title={Graddiv: Adversarial robustness of randomized neural networks via gradient diversity ...

Bayesian inference has had a pretty wide range of applications in AI, including Bayesian networks, Bayesian spatial-temporal models, Bayesian inference and learning from neural networks and deep ...

Abstract: The objectives of this paper are to apply the theory and numerical algorithms of Bayesian networks to risk scoring, and compare the results with traditional methods for computing scores and ...

A recent study published in the journal Cardiovascular Innovations and Applications explored this question, aiming to find ...

Abstract: Latent Dirichlet allocation (LDA) is a Bayesian network that has recently gained much popularity in applications ranging from document modeling to computer vision. Due to the large scale ...

We study the perfect Bayesian equilibrium of a model of learning over a general social network. Each individual receives a signal about the underlying state of the world, observes the past actions of ...

The purpose of this study is to determine the relative efficacy of different types of exercise interventions for individuals with AS using a Bayesian network meta-analysis. Methods and analysis We ...

sina.com Objectives To assess the relative benefits of various non-pharmacological interventions on treating primary dysmenorrhoea within a network meta-analysis. Study design Systematic review and ...

Two drugs, saroglitazar (S) and pioglitazone (P) are known to have beneficial effects on the metabolic syndrome. This Bayesian network meta-analysis (NMA) was conducted to compare the relative ...