Zobrazeno 1 - 10
of 7 781
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
Autor:
Castro-López R., López-Orona C. A., Martínez-Gallardo J. A., Tirado-Ramírez M. A., Gómez G., Rubio-Aragón W., Edeza-Urias J. A., Villa-Medina M. C.
Publikováno v:
Journal of Nematology, Vol 56, Iss 1, Pp 643-651 (2024)
Mexico is the 8th largest producer of tomatoes. Meloidogyne enterolobii is reported in Sinaloa, affecting tomato cultivars with genetic resistance to Meloidogyne spp. We aimed to evaluate field applications of fluopyram, fluensulfone, and fluazaindol
Externí odkaz:
https://doaj.org/article/ff262b5ed1484579b841c6d86c7c84ad
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