The network autocorrelation model has been the workhorse for estimating and testing the strength of theories of social influence in a network. In many network studies, different types of social ...

Bayesian estimation methods form a dynamic branch of statistical inference, utilising Bayes’ theorem to update probabilities in light of new evidence. This framework combines prior knowledge with ...

The field of reliability demonstration testing has evolved to address the challenges inherent in validating the performance of complex systems under practical constraints. Traditional methods, often ...

This is a preview. Log in through your library . Abstract In point estimation with a squared-error loss function the Bayes estimator is the posterior mean. In the ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...