Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Caponera, A."'
In this note we investigate geometric properties of invariant spatio-temporal random fields $X:\mathbb M^d\times \mathbb R\to \mathbb R$ defined on a compact two-point homogeneous space $\mathbb M^d$ in any dimension $d\ge 2$, and evolving over time.
Externí odkaz:
http://arxiv.org/abs/2403.17538
Publikováno v:
Large-scale Assessments in Education, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Civic engagement represents a key aspect of a democratic society and is itself a multidimensional construct. Research has shown that the promotion of civic engagement is an important component of civic and citizenship education intended in a
Externí odkaz:
https://doaj.org/article/05cee996354943d097fb628b16088a10
This paper investigates the asymptotic behavior of structural break tests in the harmonic domain for time dependent spherical random fields. In particular, we prove a functional central limit theorem result for the fluctuations over time of the sampl
Externí odkaz:
http://arxiv.org/abs/2305.01392
Autor:
Caponera, Alessia
In this paper, we introduce the concept of isotropic Hilbert-valued spherical random field, thus extending the notion of isotropic spherical random field to an infinite-dimensional setting. We then establish a spectral representation theorem and a fu
Externí odkaz:
http://arxiv.org/abs/2212.02329
We consider the problem of estimating the autocorrelation operator of an autoregressive Hilbertian process. By means of a Tikhonov approach, we establish a general result that yields the convergence rate of the estimated autocorrelation operator as a
Externí odkaz:
http://arxiv.org/abs/2202.09287
We propose nonparametric estimators for the second-order central moments of possibly anisotropic spherical random fields, within a functional data analysis context. We consider a measurement framework where each random field among an identically dist
Externí odkaz:
http://arxiv.org/abs/2112.12694
Autor:
Caponera, Alessia, Durastanti, Claudio
The aim of this paper is to define a nonlinear least squares estimator for the spectral parameters of a spherical autoregressive process of order 1 in a parametric setting. Furthermore, we investigate on its asymptotic properties, such as weak consis
Externí odkaz:
http://arxiv.org/abs/2107.08900
Autor:
Caponera, Alessia
In this paper, we focus on isotropic and stationary sphere-cross-time random fields. We first introduce the class of spherical functional autoregressive-moving average processes (SPHARMA), which extend in a natural way the spherical functional autore
Externí odkaz:
http://arxiv.org/abs/2009.13189
The purpose of the present paper is to investigate on a class of spherical functional autoregressive processes in order to introduce and study LASSO (Least Absolute Shrinkage and Selection Operator) type estimators for the corresponding autoregressiv
Externí odkaz:
http://arxiv.org/abs/1911.11470
Autor:
Caponera, Alessia, Marinucci, Domenico
In this paper, we investigate a class of spherical functional autoregressive processes, and we discuss the estimation of the corresponding autoregressive kernels. In particular, we first establish a consistency result (in sup and mean-square norm), t
Externí odkaz:
http://arxiv.org/abs/1907.05802