Results 131 to 140 of about 19,312,029 (301)

A Simulation-Based Modified Singular Spectrum Analysis Framework for Signal Extraction and the Exploration of Structured Nonlinear Temporal Behaviour

open access: yesStats
Distinguishingstructured nonlinear temporal behaviour from stochastic variability remains a fundamental challenge in the analysis of noisy and nonstationary time series, particularly when conventional nonlinear methods are sensitive to noise and finite ...
Nader Alharbi
doaj   +1 more source

A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution

open access: yesAdvanced Materials Interfaces, EarlyView.
ABSTRACT Sodium‐based metal chloride solid electrolytes are promising for sodium solid‐state batteries due to their excellent oxidation stability, which, as shown for Li halides, can coexist with high ionic conductivity. To explore cationic substitution effects, we synthesized NaGaxAl1‐xCl4 (0 ≤ x ≤ 1) via ball milling and investigated structural and ...
Hao Guo, Matteo Bianchini
wiley   +1 more source

Semiparametric Estimation in Simultaneous Equations of Time Series Models [PDF]

open access: yes
A system of vector semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Jiti Gao, Peter C. B. Phillips
core  

2D Hierarchical Black Phosphorus‐Mn2O3 Heterostructured Composites for High‐Performance Flexible Supercapacitors

open access: yesAdvanced Materials Interfaces, EarlyView.
A sonochemical strategy constructs an ex situ 2D hierarchical black phosphorus–Mn2O3 heterostructure, enabling intimate interfacial coupling, enhanced charge transport, and improved electrochemical stability. The optimized BPM‐37.5% electrode delivers 466 F g−1 with 84% retention after 8000 cycles, while the flexible device exhibits high areal energy ...
Sowmiya Selvaraj   +1 more
wiley   +1 more source

Existence of stationary distributions for a class of nonlinear time series models in random environment domain

open access: yesJournal of Inequalities and Applications, 2011
In this paper, we study the problem of a variety of nonlinear time series model Xn+1 = F(Xn, en+1(Zn+1)) in which {Zn+1} is a Markov chain with finite state space, and for every state i of the Markov chain, {en(i)} is a sequence of independent and ...
Xu Yong, Wang Yueheng, Zhu Enwen
doaj  

Nonparametric Specification Testing for Nonlinear Time Series with Nonstationarity [PDF]

open access: yes
This paper considers a nonparametric time series regression model with a nonstationary regressor. We construct a nonparametric test for testing whether the regression is of a known parametric form indexed by a vector of unknown parameters.
Zudi Lu   +3 more
core  

Bilayered PEDOT:PSS–Collagen Scaffolds as Functional Architectures for Tissue Engineering

open access: yesAdvanced Materials Interfaces, EarlyView.
A bilayered scaffold integrates collagen and PEDOT:PSS as distinct yet interconnected 3D matrices, preserving their fibrillar and conductive characteristics. Spatial compartmentalization enables independent tailoring of each domain while maintaining mechanical stability and compatibility with electrochemical monitoring, providing a multifunctional ...
Rasha Nasser   +6 more
wiley   +1 more source

Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors [PDF]

open access: yes
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedastic errors, have become increasingly popular in the economics and finance literature.
Michael McAleer   +2 more
core  

Photoluminescence Reshaping via Structural Confinement and Local Density of Optical States Control in Ir(III)‐Doped Biodegradable Metasurfaces

open access: yesAdvanced Materials Technologies, EarlyView.
Phosphorescent biodegradable metasurface showing vibronic selection and spectral photoluminescence narrowing. Anti‐correlation between experimental LDOS and measured lifetimes. ABSTRACT Metasurfaces incorporating phosphorescent emitters offer a route to engineer radiative and vibronic processes beyond chemical design.
Vincenzo Caligiuri   +11 more
wiley   +1 more source

FORECAST EVALUATION OF THE EXCHANGE RATE USING ARTIFICIAL NEURAL NETWORKS AND ASYMMETRIC COST FUNCTIONS EVALUACIÓN DE PRONÓSTICOS DEL TIPO DE CAMBIO UTILIZANDO REDES NEURONALES Y FUNCIONES DE PÉRDIDA ASIMÉTRICAS

open access: yesRevista Colombiana de Estadística, 2007
We compare forecasts obtained via linear vs. non linear specifications. The models are adjusted to the daily percentage change of the exchange rate and the comparison is done using both symmetric and asymmetric cost functions.
Jalil Munir Andrés, Misas Martha
doaj  

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