Covariance estimation and selection for high-dimensional multivariate datasets is a fundamental problem in modern statistics. Gaussian directed acyclic graph (DAG) models are a popular class of models ...

We study the consistency of the estimator in a spatial regression with partial differential equation (PDE) regularization. This new smoothing technique allows us to accurately estimate spatial fields ...

Colour correction and consistency in image processing are critical challenges in achieving seamless integration of digital images captured under varying conditions. The discipline focuses on the ...