Results 11 to 20 of about 222 (103)

Detecting departures from meta-ellipticity for multivariate stationary time series

open access: yesDependence Modeling, 2021
A test for detecting departures from meta-ellipticity for multivariate stationary time series is proposed. The large sample behavior of the test statistic is shown to depend in a complicated way on the underlying copula as well as on the serial ...
Bücher Axel, Jaser Miriam, Min Aleksey
doaj   +1 more source

Multivariate variable selection by means of null-beamforming

open access: yes, 2021
This article aims to use beamforming, a covariate-assisted data projection method to solve the problem of variable selection for multivariate random-effects regression models. The new approach attempts to explore the covariance structure in the data with
Jian Zhang, Elaheh Oftadeh
semanticscholar   +1 more source

Geometric fractional Brownian motion model for commodity market simulation

open access: yesAlexandria Engineering Journal, 2021
The geometric Brownian motion (GBM) model is a mathematical model that has been used to model asset price paths. By incorporating Hurst parameter to GBM to characterize long-memory phenomenon, the geometric fractional Brownian motion (GFBM) model was ...
Siti Nur Iqmal Ibrahim   +2 more
doaj   +1 more source

Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms [PDF]

open access: yesElectronic Journal of Statistics, 2019
This work considers the problem of modified portmanteau tests for testing the adequacy of FARIMA models under the assumption that the errors are uncorrelated but not necessarily independent (i.e. weak FARIMA). We first study the joint distribution of the
Yacouba Boubacar Mainassara   +2 more
semanticscholar   +1 more source

A unified perspective on some autocorrelation measures in different fields: A note

open access: yesOpen Mathematics, 2023
Using notions from linear algebraic graph theory, this article provides a unified perspective on some autocorrelation measures in different fields. They are as follows: (a) Orcutt’s first serial correlation coefficient, (b) Anderson’s first circular ...
Yamada Hiroshi
doaj   +1 more source

Testing for explosive bubbles: a review

open access: yesDependence Modeling, 2023
This review discusses methods of testing for explosive bubbles in time series. A large number of recently developed testing methods under various assumptions about innovation of errors are covered.
Skrobotov Anton
doaj   +1 more source

A novel approach to compare the spectral densities of some uncorrelated cyclostationary time series

open access: yesAlexandria Engineering Journal, 2022
Our primary objective in this article is to compare the spectral densities of some cyclostationary time series. By using the limiting distributions of the discrete Fourier transform, a novel approach is introduced to determine whether the spectral ...
Mohammad Reza Mahmoudi   +4 more
doaj   +1 more source

Locf imputation for Astra Agro Lestari Tbk. (Indonesia) and Anadolu Group (Turkey) stock

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
This study aims to apply time series graphs on stock of Astra Agro Lestari Tbk. and Anadolu Group with last observation carried forward (LOCF) imputation. The imputation was used because the data for the two companies had missing values on several dates.
Fadhlul Mubarak   +2 more
doaj   +1 more source

Peramalan nilai tukar rupiah terhadap dollar Amerika menggunakan model ARIMA

open access: yesMajalah Ilmiah Matematika dan Statistika, 2023
The exchange rate of the Rupiah against the currencies of other countries is one of the factors in identifying the condition of an economic condition.
Andreas Rony Wijaya
doaj   +1 more source

Volatility filtering in estimation of kurtosis (and variance)

open access: yesDependence Modeling, 2019
The kurtosis of the distribution of financial returns characterized by high volatility persistence and thick tails is notoriously difficult to estimate precisely.
Anatolyev Stanislav
doaj   +1 more source

Home - About - Disclaimer - Privacy