Coronaviruses are enveloped RNA viruses from the Coronaviridae family affecting
neurological, gastrointestinal, hepatic and respiratory systems. In late 2019 a new member …

Coronaviruses are a huge family of viruses that affect neurological, gastrointestinal, hepatic
and respiratory systems. The numbers of confirmed cases are increased daily in different …

For the problem of time-varying parameter estimation and its convergence, this paper
proposes an invariant matrix to represent the changing laws of time-varying parameters …

Abstract Zhao et al.(Nonlin. Dyn. 88, 477-487, 2017) presented the mutual information matrix
(MIM) analysis for the study of nonlinear interactions in multivariate time series as an …

Selecting a set of requirements to implement in the next software release is an NP-Hard
problem known as NRP. We propose multi-objective versions of grey wolf optimizer and …

The copper price is a leading indicator of real estate activity. Price increases are statistically
related to increasing numbers of applications for residential building permits. However, this …

In this paper, an autoregressive moving average (ARMA) model with threshold generalized
autoregressive conditional heteroscedasticity (TGARCH) innovations is considered to model …

Abstract Yilmaz et al.(Fluct. Noise Lett. 17, 1830002, 2018) investigated the stochastic
phenomenological bifurcations of a generalized Chua circuit driven by Skew-Gaussian …

Financial time series forecasting is a challenging problem owing to the high degree of
randomness and absence of residuals in time series data. Existing machine learning …

In this paper, we develop a mixture of autoregressive (MoAR) process model with time
varying and freely indexed covariates under the flexible class of two–piece distributions …