Results 141 to 150 of about 188,817 (310)
Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors [PDF]
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
A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution
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
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
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
Cornus mas L. seeds are transformed into a high‐performance biosorbent through chemical modification, effectively removing methylene blue from aqueous solutions. Comprehensive characterization and optimization reveal a maximum biosorption capacity of 71.71 mg g−1, establishing this sustainable, cost‐effective material as a promising solution for ...
Hakan Yıldız +2 more
wiley +1 more source
Modelling Memory of Economic and Financial Time Series [PDF]
Much time series data are recorded on economic and financial variables. Statistical modelling of such data is now very well developed, and has applications in forecasting.
Peter M Robinson
core
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Detecting and quantifying causal associations in large nonlinear time series datasets. [PDF]
Runge J +4 more
europepmc +1 more source
In many applications, such as physiology and finance, large time series data bases are to be analyzed requiring the computation of linear, nonlinear and other measures.
Alkiviadis Tsimpiris +1 more
core
Measuring Conditional Persistence in Time Series [PDF]
The persistence properties of economic time series has been a primary object of investigation in a variety of guises since the early days of econometrics. This paper suggests investigating the persistence of processes conditioning on their history.
George Kapetanios
core

