Network meta-analysis (NMA) is an increasingly popular statistical method of synthesising evidence to assess the comparative benefits and harms of multiple treatments in a single analysis. Several ...

Bayesian networks have emerged as a powerful tool in the realm of legal evidence and reasoning ... probabilistic methods by considering the network structure and emphasizing weaker links in ...

This systematic review, traditional meta-analysis (TMA) and Bayesian network meta-analysis (Bayesian NMA ... 23 We evaluated the quality and certainty of the evidence of the NMA estimates using the ...

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

config_frequentist.py: Hyperparameters for main_frequentist file. @article{shridhar2019comprehensive, title={A comprehensive guide to bayesian convolutional neural network with variational inference}, ...

Bayesian statistics take our prior knowledge together with the obtained data to express a degree of belief how likely a certain event is. Bayes factor hypothesis testing (BFHT) provides a ...

This paper introduces the potential of intelligent Bayesian regularization backpropagation neuro computing (IBRBNC) for the precise estimation of state features of underwater passive object. The ...