Volume 13, Issue 2-3

Search all International Journal of Advances in Engineering Sciences and Applied Mathematics articles

September 2021

Special Issue: Time Series Modelling, Data Science and Statistical Learning

Issue Editors:

Agnieszka Wylomanska,
Janusz Gajda,
Sundar S

15 articles in this issue

Preface to special issue: time series modelling
Agnieszka Wylomanska
Janusz Gajda
S. Sundar
Preface 15 September 2021 Pages: 137 - 138
Normal inverse Gaussian autoregressive model using EM algorithm
Monika S. Dhull
Arun Kumar
OriginalPaper 24 August 2021 Pages: 139 - 147
Asymptotic behavior of dependence measures for Ornstein-Uhlenbeck model based on long memory processes
Janusz Gajda
Agnieszka Wyłomańska
OriginalPaper Open access 11 October 2021 Pages: 148 - 162
New estimation method for periodic autoregressive time series of order 1 with additive noise
Wojciech Żuławiński
Agnieszka Wyłomańska
OriginalPaper Open access 03 September 2021 Pages: 163 - 176
Estimating stress-strength reliability for exponential distributions with different location and scale parameters
Nabakumar Jana
Somesh Kumar
Piyali Kundu
OriginalPaper 04 September 2021 Pages: 177 - 190
Spatial components dependence for bidimensional time-constant AR(1) model with \(\alpha \)-stable noise and triangular coefficients matrix
Aleksandra Grzesiek
OriginalPaper Open access 03 September 2021 Pages: 191 - 205
Estimation of the parameters of vector autoregressive moving average (VARMA) time series model with symmetric stable noise
Aastha M. Sathe
Raju Chowdhury
N. S. Upadhye
OriginalPaper 24 August 2021 Pages: 206 - 214
Fractional lower-order covariance (FLOC)-based estimation for multidimensional PAR(1) model with \(\alpha -\)stable noise
Prashant Giri
S. Sundar
Agnieszka Wyłomańska
OriginalPaper 24 August 2021 Pages: 215 - 235
Application of non-Gaussian multidimensional autoregressive model for climate data prediction
Ewa Broszkiewicz-Suwaj
Agnieszka Wyłomańska
OriginalPaper Open access 18 August 2021 Pages: 236 - 247
Time series forecasting: problem of heavy-tailed distributed noise
Marta Markiewicz
Agnieszka Wyłomańska
OriginalPaper Open access 11 October 2021 Pages: 248 - 256
Neural network-based anomalous diffusion parameter estimation approaches for Gaussian processes
Dawid Szarek
OriginalPaper Open access 24 August 2021 Pages: 257 - 269
Fractional differentiation and its use in machine learning
Rafał Walasek
Janusz Gajda
OriginalPaper Open access 25 August 2021 Pages: 270 - 277
On the choice of hyper-parameters of artificial neural networks for stabilized finite element schemes
Subodh M. Joshi
Thivin Anandh
Sashikumaar Ganesan
OriginalPaper 28 August 2021 Pages: 278 - 297
Asymptotic performance of the Scheduled Relaxation Jacobi method
V. Babu
OriginalPaper 07 August 2021 Pages: 298 - 304
A Boltzmann scheme with physically relevant discrete velocities for Euler equations
N. Venkata Raghavendra
S. V. Raghurama Rao
OriginalPaper 11 October 2021 Pages: 305 - 328

Volume 13, Issue 2-3

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