IEEE

Bayesian Ridge Regression-Based Graph Injection Attack on IIoT

Abstract: The systems within the Industrial Internet of Things (IIoT) have complex structures and non-Euclidean data, which are challenging to manage. Due to the advantages of graph neural networks ...

Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
GitHub

Bayesian Deep-Learning Structured Illumination Microscopy Enables Reliable Super-Resolution Imaging with Uncertainty Quantification

Abstract: The objective of optical super-resolution (SR) imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination ...
Frontiers

Effects of demographic variables on mathematics self-esteem, test anxiety, and achievement in adolescents: a Bayesian beta regression analysis

Background: Mathematics achievement is shaped not only by cognitive skills but also by psychological factors such as self-esteem and test anxiety. Demographic characteristics, including gender, age, ...
IEEE

Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting

Abstract: Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial ...
BMJ

What proportion of people have long-term pain after total hip or knee replacement? An update of a systematic review and meta-analysis

Objectives To update our previous systematic review to synthesise latest data on the prevalence of long-term pain in patients who underwent total hip replacement (THR) or total knee replacement (TKR).
Frontiers

Multivariate intrinsic local polynomial regression on isometric Riemannian manifolds. Applications to symmetric positive data

Introduction: We extend intrinsic local polynomial regression (ILPR) to multivariate covariates on arbitrary Riemannian manifolds, providing a general framework to study the action of isometric maps ...