Zobrazeno 1 - 10
of 7 714
pro vyhledávání: '"Medina, M"'
A functional nonlinear regression approach, incorporating time information in the covariates, is proposed for temporal strong correlated manifold map data sequence analysis. Specifically, the functional regression parameters are supported on a connec
Externí odkaz:
http://arxiv.org/abs/2407.00381
Autor:
Leonenko, N. N., Ruiz-Medina, M. D.
This paper analyzes the limit distribution of spatiotemporal sojourn measures of Gaussian subordinated random fields. The family of Gaussian spatiotemporal random fields studied displays long--range dependence. The approach presented is based on Herm
Externí odkaz:
http://arxiv.org/abs/2402.09003
This paper considers the problem of manifold functional multiple regression with functional response, time--varying scalar regressors, and functional error term displaying Long Range Dependence (LRD) in time. Specifically, the error term is given by
Externí odkaz:
http://arxiv.org/abs/2402.08569
Publikováno v:
Stochastic Environmental Research and Risk Assessment 33, 1721-1736, 2019
This work adopts a Banach-valued time series framework for component-wise estimation and prediction, from temporal correlated functional data, in presence of exogenous variables. The strong-consistency of the proposed functional estimator and associa
Externí odkaz:
http://arxiv.org/abs/2402.06574
The presented methodology for testing the goodness-of-fit of an Autoregressive Hilbertian model (ARH(1) model) provides an infinite-dimensional formulation of the approach proposed in Koul and Stute (1999), based on empirical process marked by residu
Externí odkaz:
http://arxiv.org/abs/2303.09644
Autor:
Angulo, J. M., Ruiz-Medina, M. D.
Large-scale behavior of a wide class of spatial and spatiotemporal processes is characterized in terms of informational measures. Specifically, subordinated random fields defined by non-linear transformations on the family of homogeneous and isotropi
Externí odkaz:
http://arxiv.org/abs/2212.12209
This paper addresses the estimation of the second-order structure of a manifold cross-time random field (RF) displaying spatially varying Long Range Dependence (LRD), adopting the functional time series framework introduced in Ruiz-Medina (2022). Con
Externí odkaz:
http://arxiv.org/abs/2212.06228
This paper introduces a new modeling framework for the statistical analysis of point patterns on a manifold M_{d}, defined by a connected and compact two-point homogeneous space, including the special case of the sphere. The presented approach is bas
Externí odkaz:
http://arxiv.org/abs/2210.11134
Fr\'echet global regression is extended to the context of Riemannian--manifold--valued bivariate curve data correlated in time. Specifically, our Fr\'echet predictor is the minimizer of a weighted $L^{2}$--energy function. We restrict our attention t
Externí odkaz:
http://arxiv.org/abs/2208.12585
Autor:
De Sousa, J. M., Machado, L. D., Woellner, C. F., Medina, M., Autreto, P. A. S., Galvão, D. S.
In this work, we investigated the mechanical response and fracture dynamics of boron nitride nanotubes (BNNTs)-peapods under ultrasonic velocity impacts (from 1 km/s to 6 km/s) against a solid target. BNNT-peapods are BNNTs containing an encapsulated
Externí odkaz:
http://arxiv.org/abs/2208.00943