Understanding Credibility Theory in Actuarial Science

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

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

High-Performance In-Memory Bayesian Inference With Multi-Bit Ferroelectric FET

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

This 250-year-old equation just got a quantum makeover

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 ...
SciTech Daily

Bayes’ Rule Goes Quantum: A 250-Year-Old Theory Learns New Tricks

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 ...
PNAS

Quantum advantage in variational Bayes inference

Quantum machine learning (QML) is an emerging research field that deals with quantum algorithms for data analysis. It is hoped that QML will yield practical demonstrations of quantum advantage by ...
IEEE

Deep Variational Autoencoder Based Parameter Learning of Bayesian Network with Multiple Latent Variables

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 ...
Frontiers

Changes in facial expressions can distinguish Parkinson’s disease via Bayesian inference

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.
INSPIRE

A general Bayesian model-validation framework based on null-test evidence ratios, with an example application to global 21-cm cosmology

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 ...
Scientific Research Publishing

McElreath, R. (2020) Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.

ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...
Scientific Research Publishing

Application of Bayesian Econometrics in Policy Evaluation ()

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...