Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...

Two data analytic research areas—"penalized splines and reproducing kernel methods"—have become very vibrant since the mid-1990s. This article shows how the former can be embedded in the latter via ...

A new class of computational methods have been developed to construct distributions of where such monitored organisms are most likely to be found in space and time using this data, and are much more ...

We study the profile-kernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential root-n inconsistency of the backfitting ...

This course is available on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is ...