Results 121 to 130 of about 12,105 (264)
The study has two aims. The first aim is to propose a family of nonlinear GARCH models that incorporate fractional integration and asymmetric power properties to MS-GARCH processes.
Melike Bildirici, Özgür Ersin
doaj +1 more source
ABSTRACT Within the US electoral system, where states are conceived of and vote as discrete entities, state‐level characteristics are vital to consider because they reflect sociocultural context influencing voter behaviour. Though numerous studies have documented the connection between Christian nationalist ideology and voting for Donald Trump in 2016,
Andrew L. Whitehead, Samuel L. Perry
wiley +1 more source
ARMA Modelling for Whispered Speech
The Autoregressive Moving Average(ARMA)model for whispered speech is proposed.Compared with normal speech,whispered speech has no fundamental frequency because of the glottis being semi-opened and turbulent flow being created,and formant shifting exists ...
Xue-li LI, Wei-dong ZHOU
doaj
ARMA spectral estimation of narrow-band processes via model reduction
The problem of estimating autoregressive moving average (ARMA) models for narrowband processes is considered. The following approach is proposed. Estimate a high-order autoregressive (AR) approximation of the process.
Wahlberg, Bo,
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Ecological and genomic variation in ectomycorrhizal fungal exploration types
Summary Ectomycorrhizal fungi (EMF) produce mycelia with variable extension and complexity, which can be classified according to soil ‘exploration types’ (ETs). ETs have received attention as one of the few mycorrhizal trait frameworks, but without an empirical classification of ET functional diversity and environmental preferences, understanding and ...
Thomas M. Mansfield +55 more
wiley +1 more source
Bitcoin Return Dynamics Volatility and Time Series Forecasting
Bitcoin and other cryptocurrency returns show higher volatility than equity, bond, and other asset classes. Increasingly, researchers rely on machine learning techniques to forecast returns, where different machine learning algorithms reduce the ...
Punit Anand, Anand Mohan Sharan
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Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy
openIn questo studio viene presentata una nuova classe di modelli per serie temporali, il modello autoregressivo a media mobile con distribuzione normale generalizzata (GN-ARMA).
XEKA, ARMANDO
core
International audienceABSTRACT: High Pressure Water Jetting (HPWJ) can be applied at the drill bit-rock interface and is especially promising for deep highly confined geothermal reservoir rocks if used for peripheral groove cutting in the bottom hole ...
Xiang, X. +6 more
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ABSTRACT Since the seminal contributions of Friedman and Schwartz and of Hendry and Ericsson, instability in money demand has remained a central issue in the literature. This study broadens and generalizes the first evidence for the United Kingdom of stable long‐ and short‐run broad money demand extending back to the nineteenth century. Using nonlinear
Álvaro Escribano +2 more
wiley +1 more source
Hierarchical equilibria of branching populations [PDF]
In this paper we study high moment partial sum processes based on residuals of a stationary ARMA model with or without a unknown mean parameter. We show that they can be approximated in probability by the analogous processes which are obtained from the ...
Hao Yu
core

