Results 151 to 160 of about 2,441 (205)
Generative vocal plasticity in chimpanzees. [PDF]
Lameira AR +4 more
europepmc +1 more source
Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan. [PDF]
Bero J +8 more
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]
Ragab M.
europepmc +1 more source
Bayesian Inference for ARFIMA Models
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 +3 more
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Consistent order selection for ARFIMA processes
Annals of Statistics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +3 more sources
Preliminary estimation of ARFIMA models
In this article we propose a preliminary estimator for the parameters of an ARFIMA(p,d,q) model. The estimation procedure is based on the search of the element in the class of ARFIMA models closest to the estimated ARMA model which best fits the observed time series.
CORDUAS, MARCELLA, Marcella Corduas
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ARFIMA processes and outliers: a weighted likelihood approach
Journal of Applied Statistics, 2010In this paper, we consider the problem of robust estimation of the fractional parameter, d, in long memory autoregressive fractionally integrated moving average processes, when two types of outliers, i.e. additive and innovation, are taken into account without knowing their number, position or intensity.
Claudio Agostinelli, Luisa Bisaglia
exaly +3 more sources
ARFIMA modely časových řad [PDF]
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. Next, graphical, semiparametric and parametric estimation methods of ARFIMA parameters are described in detail.
Vdovičenko, Martin
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Predicting BRICS stock returns using ARFIMA models [PDF]
This article examines the existence of long memory in daily stock market returns from Brazil, Russia, India, China and South Africa (BRICS) countries and also attempts to shed light on the efficacy of autoregressive fractionally integrated moving average
Goodness C Aye, Mehmet Balcilar
exaly +2 more sources
Jeffrey's divergence between ARFIMA processes
Digital Signal Processing, 2018Abstract The symmetric Kullback–Leibler divergence known as Jeffrey's divergence (JD) has found applications in signal and image processing, from radar clutter modeling to texture analysis. Recently, several studies were done on the JD between ergodic wide-sense stationary autoregressive (AR) and/or moving average (MA) processes.
Mahdi Saleh +2 more
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