Results 81 to 90 of about 6,621,438 (152)

Testing for threshold effect in ARFIMA models: Application to US unemployment rate data

open access: yes, 2008
Macroeconomic time series often involve a threshold effect in their ARMA representation, and exhibit long memory features. In this paper we introduce a new class of threshold ARFIMA models to account for this.
Scaillet, Olivier, Lahiani, A.
core   +2 more sources

Bayesian Analysis of Long Memory and Persistence using ARFIMA Models

open access: yes
This paper provides a Bayesian analysis of Autoregressive Fractionally Integrated Moving Average (ARFIMA) models. We discuss in detail inference on impulse responses, and show how Bayesian methods can be used to (i) test ARFIMA models against ARIMA ...
Gary Koop   +3 more
core   +1 more source

Comparing the bias and misspecification in ARFIMA models

open access: yes, 1995
ARFIMA models - AutoRegressive Fractional Integrated Moving Average modelsSIGLEGBUnited ...
Smith, J.   +3 more
core  

ARFIMA time series models

open access: yes, 2014
The thesis deal with long-memory processes which are defined by several ways. The main concern is dedicated to ARFIMA model, to its basic properties and its application.
Vdovičenko, Martin
core  

Addressing non-stationarity with stochastic trend in the context of limited time series data: An experimental survey in healthcare analytics

open access: yesApplied Computer Science
Stationarity is a fundamental assumption in time series modeling that underlies reliable statistical inference and forecasting. Time series data can be found in many domains, including industry, engineering, finance, economics, epidemiology, and health ...
Apollinaire BATOURE BAMANA   +3 more
doaj   +1 more source

Time Analysis of an Emergent Infection Spread Among Healthcare Workers: Lessons Learned from Early Wave of SARS-CoV-2. [PDF]

open access: yesInt J Gen Med, 2022
Leme PAF   +8 more
europepmc   +1 more source

Temporal Structure in Sensorimotor Variability: A Stable Trait, But What For? [PDF]

open access: yesComput Brain Behav, 2023
Perquin MN   +3 more
europepmc   +1 more source

Forecasting commodity prices: empirical evidence using deep learning tools. [PDF]

open access: yesAnn Oper Res, 2023
Ben Ameur H   +4 more
europepmc   +1 more source

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