Zobrazeno 1 - 10
of 7 776
pro vyhledávání: '"Medina M"'
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 15, Pp 1011-1023 (2022)
Dong Yeong Shin,1 Jongwha Chang,2 Zo H Ramamonjiarivelo,3 Mar Medina4 1Department of Public Health Sciences, New Mexico State University, Las Cruces, NM, USA; 2Department of Healthcare Administration, College of Business, Texas Woman’s University,
Externí odkaz:
https://doaj.org/article/fdacf8417b954da1a7b19a1395cf6347
Publikováno v:
International Journal of General Medicine, Vol Volume 15, Pp 1329-1339 (2022)
Sun Jung Kim,1– 3,* Mar Medina,4,* Rigoberto Delgado,5 Anastasia Miller,5 Jongwha Chang5 1Department of Health Administration and Management, College of Medical Science, Soonchunhyang University, Asan, Republic of Korea; 2Center for Healthc
Externí odkaz:
https://doaj.org/article/2f157939a0b34698af4fca55430dc452
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
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 8, Iss 1, Pp 624-630 (2015)
The inoculation of forest seedlings with mycorrhizal fungi and rhizobacteria can improve the morphology and physiology of the seedlings and benefit the reforestation of Mediterranean areas and the reintroduction of mycorrhizal fungal inocula into the
Externí odkaz:
https://doaj.org/article/e84d3139019b4d71a9919323ac9d10b2
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