Add a description, image, and links to the multivariate-radial-basis-function topic page so that developers can more easily learn about it.

Abstract: Existing performance analysis of wireless systems based on reconfigurable intelligent surfaces (RIS) over fading channels has primarily focused on providing statistical insights into the sum ...

Add a description, image, and links to the multivariate-temporal-response-function topic page so that developers can more easily learn about it.

Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...

Researchers lift FSS from unary to multivariate: two-layer OT-linked binary trees shrink distributed comparison function key size from O(λn²) to O(λn) ...

In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

ABSTRACT: Piyavskii’s algorithm maximizes a univariate function satisfying a Lipschitz condition. We propose a modified Piyavskii’s sequential algorithm which maximizes a univariate differentiable ...

For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits composed of ...

Uniform a.s. consistency is proven for a class of kernel estimators of multivariate density functions in the independence case and under a mixing condition. Furthermore the Chernoff-estimator of the ...