Some recent work on the analysis of nonlinear and nonstationary time series models is
reviewed. A couple of novel results are obtained in extending nonlinear cointegrating …

The supplementary material consists of four sections. In Section 1 of the supplementary
material we give some more details of Section 4.2 of the main article concerning the …

This paper studies the dependence between crude oil and RCEP stock markets before and
after COVID-19 by using local Gaussian correlations, contagion tests, and time-frequency …

This study determined the effect of workplace safety on employee productivity in
manufacturing firms in Kenya. Moreover, it analysed the relationship between workplace …

Climate change is expected to have major impacts on land surface and subsurface
processes through its expression in the hydrological cycle, but the impacts to any particular …

Climate change is expected to have major impacts on land surface and subsurface
processes through its expression on the hydrological cycle, but the impacts to any particular …

In the realm of architectural computing, this study explores the integration of parametric
design with machine learning algorithms to advance the early design phase of tall buildings …

Climate change is expected to have major impacts on land surface and subsurface
processes through its expression in the hydrological cycle, but the impacts to any particular …

We give a review of some recent developments in embeddings of time series and dynamic
networks. We start out with traditional principal components and then look at extensions to …

Statistical disparity between distinct treatment groups is one of the most significant
challenges for estimating Conditional Average Treatment Effects (CATE). To address this …