Discover how the Dutch Book Theorem reveals profit opportunities in betting and finance when probabilities are misjudged.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...

A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the “principle of minimum change” — updating beliefs as little as possible ...

Physicists have derived a quantum version of Bayes’ rule, revealing how beliefs and probabilities update in the quantum realm with potential applications in computing and beyond. Credit: Shutterstock ...

I have a real world project in the following scenario: I have a predefined network skeleton in DAG format. Our dataset has 1654 nodes, 2965 edges. I also have a dataset with shape (3000, 1654). Among ...

Abstract: Intelligent systems could be increasingly powerful by applying probabilistic inferences over the dependence relations among observed and latent variables, which could be represented by the ...

Objectives: We aimed to clarify the influence of facial expressions on providing early recognition and diagnosis of Parkinson’s disease (PD). Methods: We included 18 people with PD and 18 controls.

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

Comparing composite models for multi-component observational data is a prevalent scientific challenge. When fitting composite models, there exists the potential for systematics from a poor fit of one ...