Frontiers

Advances in Stress-Strength Modeling with Complete and Censored Data

Stress-strength modeling is a fundamental concept in reliability theory and survival analysis, quantifying the probability that a system’s strength exceeds ...
Frontiers

Data-Driven Mathematical and Statistical Methods for Infectious Disease Dynamics and Public Health Decision-Making

Infectious diseases continue to pose significant challenges to public health systems worldwide, particularly in settings where resources, surveillance ...
Scientific Research Publishing

Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach ()

Wu, R. , Zhuang, L. and He, M. (2026) Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach. Open ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
IEEE

The Non-contact Signal Measurement and Compensation Method Based on Improved Non-Negative Tikhonov Regularization within the Bayesian Framework

Abstract: Cross-linked polyethylene (XLPE) power cables are widely used in urban power grid construction. Due to the typically harsh operating environments, the cables are susceptible to moisture ...
IEEE

A Physical-Constrained Decomposition Method of Infrared Thermography: Pseudo Restored Heat Flux Approach Based on Ensemble Bayesian Variance Tensor Fraction

Abstract: In this study, we propose a new post processing algorithm, using a stable low-rank decomposed pseudo restored heat flux based on the ensemble variational Bayes tensor factorization ...