Phys.org

Inference of Bayesian networks made fast and easy using an extended depth-first search algorithm

A Bayesian network is a directed acyclic graph (DAG) or a probabilistic graphical model used by statisticians. Vertices of this model represent different variables. Any connections between variables ...

Researchers advance aquifer mapping using remote sensing and statistical models to improve groundwater management

Groundwater in many areas of the U.S. and across the globe is being depleted as pumping for drinking water and agriculture ...
Nature

Bayesian Inference in Phylogenetic Dynamics

Bayesian inference in phylogenetic dynamics integrates genetic data with models of evolutionary and population processes to reconstruct the history and tempo of lineage diversification. By combining ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...
lse

Bayesian Inference

This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data Science, BSc in Economics and Data Science, BSc in Mathematics with Data Science ...