Results 1 to 10 of about 612 (157)

Stability analysis and numerical simulation of nonlocal extended epidemic models using positivity-preserving scheme [PDF]

open access: yesScientific Reports
In this paper we introduce a robust numerical framework for simulating the nonlocal extended epidemic models that incorporate the fractional diffusion to capture the complex spatial–temporal dynamics of disease spread. The presented numerical scheme uses
Muhammad Yousuf, Narjes Alshakhoury
doaj   +2 more sources

Adaptive Fractional Differencing: Theory and Methodology

open access: yesIEEE Access
This study develops a theoretical framework for forecasting financial time series exhibiting both non-stationarity and long-range dependence (LRD).
Sarit Maitra
doaj   +3 more sources

A Decoupled Fractional-Order Kalman Filter for Accelerometer Tilt Angle Estimation [PDF]

open access: yesSensors
Accelerometer-based tilt angle estimation is widely used in engineering monitoring, yet random noise and outliers degrade its accuracy. Integer-order Kalman filters suppress noise, but their Markovian model assumes that the current state alone is ...
Naiming Wu   +3 more
doaj   +2 more sources

Some new evidence using fractional integration about trends, breaks and persistence in polar amplification [PDF]

open access: yesScientific Reports
This paper uses fractional integration methods to obtain new evidence on polar amplification. The adopted modelling framework is very general since it allows the differencing parameter to take any real value, including fractional ones, and provides ...
Guglielmo Maria Caporale   +2 more
doaj   +2 more sources

Adaptive Fractional Differencing for Learning-Optimal Long-Memory Preservation

open access: yesIEEE Access
Forecasting and prediction in financial time series are fundamentally challenging due to non-stationarity and long-range dependence (LRD) nature of such series.
Sarit Maitra
doaj   +2 more sources

Fractional differencing in discrete time [PDF]

open access: yesQuantitative Finance, 2011
This paper consists of two parts, a theoretical followed by an empirical contribution. We first give a new framework for fractional differencing in discrete time and show how the definition of fractional differencing that is commonly employed in empirical financial applications arises as a special case.
Elder, J., Elliott, R., Miao, H.
openaire   +4 more sources

Efficient Exponential Time-Differencing Methods for the Optical Soliton Solutions to the Space-Time Fractional Coupled Nonlinear Schrödinger Equation

open access: yesJournal of Mathematics, 2021
The coupled nonlinear Schrödinger equation is used in simulating the propagation of the optical soliton in a birefringent fiber. Hereditary properties and memory of various materials can be depicted more precisely using the temporal fractional ...
Xiao Liang, Bo Tang
doaj   +1 more source

Tourism persistence in the Southeastern European countries: The impact of covid-19

open access: yesCogent Economics & Finance, 2023
This paper examines tourism persistence in a group of Southeastern European (SEE) countries (Albania, Bosnia, Bulgaria, Croatia, Montenegro, North Macedonia, Serbia and Slovenia) by applying fractional integration methods to monthly data on foreign ...
Guglielmo Maria Caporale   +2 more
doaj   +1 more source

Humbert generalized fractional differenced ARMA processes

open access: yesCommunications in Nonlinear Science and Numerical Simulation, 2023
In this article, we use the generating functions of the Humbert polynomials to define two types of Humbert generalized fractional differenced ARMA processes. We present stationarity and invertibility conditions for the introduced models. The singularities for the spectral densities of the introduced models are obtained.
Niharika Bhootna   +3 more
openaire   +2 more sources

Adaptive Estimation of the Fractional Differencing Coefficient [PDF]

open access: yesBernoulli, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Iouditsky, Anatoli   +2 more
openaire   +3 more sources

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