Results 121 to 130 of about 467 (180)

Time-analysis of COVID-19 dispersion among health care workers and the general population

, 2021
Leme PAF, Jalalizadeh M, Dionato FAV, Buosi K, Col LSD, Giacomelli CF, Ferrari KL, Pagliarone AC, Gon LM, Maia CL, Esfahani AA, Reis LO.   +11 more
europepmc   +1 more source

Generative vocal plasticity in chimpanzees. [PDF]

iScience
Lameira AR, Caneco B, Kershenbaum A, Santamaría-Bonfil G, Call J.   +4 more
europepmc   +1 more source

Forecasting infection fatality rate of COVID-19, Measuring the effciency of several hybrid models.

, 2023
SEBA D.
europepmc   +1 more source

Forecasting COVID-19 new cases in Algeria using Autoregressive fractionally integrated moving average Models (ARFIMA)

, 2020
Balah B, Djeddou M.
europepmc   +1 more source

An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]

Sci Rep
Ragab M.
europepmc   +1 more source

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Consistent order selection for ARFIMA processes

Annals of Statistics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.

exaly   +3 more sources

Bayesian Inference for ARFIMA Models

Journal of Time Series Analysis, 2019
This article develops practical methods for Bayesian inference in the autoregressive fractionally integrated moving average (ARFIMA) model using the exact likelihood function, any proper prior distribution, and time series that may have thousands of observations.
Durham, Garland, Geweke, John, Porter-Hudak, Susan, Sowell, Fallaw   +3 more
openaire   +1 more source

An Evaluation of ARFIMA Programs

Volume 9: 13th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, 2017
Strong coupling between values at different time that exhibit properties of long range dependence, non-stationary, spiky signals cannot be processed by the conventional time series analysis. The ARFIMA model, which employs the fractional order signal processing techniques, is the generalization of the conventional integer order models — ARIMA and ARMA ...
Kai Liu, Xi Zhang, YangQuan Chen
openaire   +1 more source

Adaptive ARFIMA models with applications to inflation

Economic Modelling, 2012
Abstract Many previous analyses of inflation have used either long memory or nonlinear time series models. This paper suggests a simple adaptive modification of the basic ARFIMA model, which uses a flexible Fourier form to allow for a time varying intercept.
Morana, C, Baillie, RT
openaire   +1 more source