In contrast to existing methodology, the new method employs a set of functionals of the regressors instead of the regressors themselves to estimate the unknown ...

In this paper, a ö novel strategy for a class of system identification problems is proposed. Similar to adaptive learning methods, the new algorithm is also ...

In contrast to existing methodology, the new method employs a set of functionals of the regressors instead of the regressors themselves to estimate the unknown ...

Nov 1, 2012 · The author proposes a novel functional regression method for parameter estimation and adaptive control in this dissertation.

Abstract. We propose a novel approach to nonlinear functional regression, called the Mapping-to-. Parameter function model, which addresses complex and ...

The purpose of this research is to investigate the novel parameter estimation algorithms under the stochastic gradient framework to identify the sealed ...

In this paper, we present a novel estimation method that tackles these limitations by leveraging the low-rank structure inherent in the covariate matrix.

Aug 13, 2024 · We introduce a novel approach for estimation and inference of weighted scalar-on-function regression models for exponential family outcomes.

Apr 6, 2023 · Abstract. In this article we propose a boosting algorithm for regression with functional explanatory variables and scalar responses.

There are primarily two streams of methods for the functional linear regression model in the literature. The first stream adopts a functional principal ...