Nature

A tiny ‘Bayesian machine’ does much with little

A chip its inventors call a Bayesian machine accomplishes complex tasks with less training than a standard neural network 1. Artificial neural networks are algorithms that can perform tasks such as ...

Machine learning model helps predict urgent care visits for lung cancer patients

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...
mccormick.northwestern.edu

MLDS 490: Bayesian Methods for Inference and Decision Making

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...
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 ...
JSTOR Daily

Subjective Bayesian Models in Sampling Finite Populations

A general and basic model for inference about characteristics of a finite population of distinguishable elements is presented from a subjectivistic-Bayesian point of view. A subjectivist analogue to ...
JSTOR Daily

BAYESIAN INFERENCE AND COMPUTING FOR SPATIAL POINT PATTERNS

NSF-CBMS Regional Conference Series in Probability and Statistics, Vol. 10 (2018), pp. i-v, 1-125 (128 pages) Aarts, G., Fieberg, J., and Matthiopoulos, J. (2012). Comparative interpretation of count, ...
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 Mathematics with Data Science, BSc in Mathematics with Economics ...