In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

Rapid advances in Industry 4.0 have the potential to transform production planning and
control (PPC) through the emerging concept of smart PPC. This paper provides a visionary …

Probabilistic forecasting of high dimensional multivariate time series is a notoriously
challenging task, both in terms of computational burden and distribution modeling. Most …

This paper focuses on the joint estimation of parameters and topologies of multivariate
graphical autoregressive moving-average (ARMA) processes. Since the graphical structure …

Prices of commodities have shown large fluctuations. A high volatility of one commodity
today may impact the volatility of another commodity tomorrow. As such, agricultural and …

Interconnectedness between stocks and firms plays a crucial role in the volatility contagion
phenomena that characterize financial crises, and graphs are a natural tool in their analysis …

Adaptive collection of data is commonplace in applications throughout science and
engineering. From the point of view of statistical inference, however, adaptive data collection …

Marketers across industries appeal to consumers' need for uniqueness in their marketing
and product strategies. While there is an understanding of the many benefits of such a …

Purpose This paper aims to understand empirically how shares of standard and premium
private label (PL) products affect a retailer's marketing mix decisions toward national brands …

The vector autoregressive moving average (VARMA) model is fundamental to the theory of
multivariate time series; however, identifiability issues have led practitioners to abandon it in …