Latent space models are popular for analyzing dynamic network data. We propose a variational approach to estimate the model parameters and the latent positions of the nodes in the network. The ...

This paper considers a class of generalized methods of moments (GMM) estimators for general dynamic panel models, allowing for weakly exogenous covariates and cross-sectional dependence due to spatial ...

A recent study published in Engineering presents a groundbreaking method for comprehensively evaluating the performance of aeroengines, the crucial components powering aircraft. Authored by Shubin Si ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

OpenAI today introduced a new artificial intelligence model, GPT-5-Codex, that it says can complete hours-long programming tasks without user assistance. The algorithm is an improved version of GPT-5 ...

The ionosphere -- the region of geospace spanning from 60 to 1000 kilometers above the Earth -- impairs the propagation of radio signals from global navigation satellite systems (GNSS) with its ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...