Nature

Causal Inference and Bayesian Network Learning

The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...
inc42

What Are Bayesian Networks? Here’s All You Need to Know

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Diginomica

Why you need to put Bayesian Nets in your tool bag

Most chatter about AI in other than research and academic institutions is about Machine Learning (ML) and various forms of neural nets and deep learning. Natural Language (speech recognition, language ...
InsuranceNewsNet

Studies Conducted at Neoma Business School on Computing Recently Reported (A Comprehensive Review of Causal Inference In Banking, Finance, and Insurance): Computers – Computing

Our news journalists obtained a quote from the research from Neoma Business School,“ It categorizes papers into Banking and risk management Finance, Financial markets and Insurance. For more ...
The Conversation

Bayes’ Theorem: the maths tool we probably use every day, but what is it?

Mike Lee receives relevant research funding from the Australian Research Council, the Australia-Pacific Science Foundation, and Flinders University. Benedict King receives funding from the Australian ...