In a dynamic business environment, the accuracy of sales forecasts plays a pivotal role in
strategic decision making and resource allocation. This article offers a systematic review of …

Purpose: This study aims to explore the growth and variability of enterprises in four key
Scottish industrial sectors between 2008 and 2021, emphasizing the importance of …

The macroeconomy is a sophisticated dynamic system involving significant uncertainties
that complicate modelling. In response, decision makers consider multiple models that …

Finance, as a multidimensional field, is constantly evolving, driven by economic,
technological, and regulatory shifts. The dynamic nature of the field of finance research …

This study combines various computational methods informed by statistical data from
experimental Compact Tension (CT) testing to simulate progressive damage evolution in …

Medical diagnosis is the basis for treatment and management decisions in healthcare.
Conventional methods for medical diagnosis commonly use established clinical criteria and …

Forecasts are common in agricultural settings where they are routinely used for decision‐
making. The advent of the computer age has allowed for rapid generation of individual …

Macroeconomic policy optimization is essential in today's complex economic environments,
yet existing models often struggle to effectively utilize high-frequency IoT data alongside …

This paper reviews the growing field of Bayesian prediction. Bayesian point and interval
prediction are defined and situated in statistical prediction more generally. Then, four …

In the recent years many countries were hit by a series of macroeconomic shocks, most
notably as a consequence of the COVID-19 pandemic and Russia's invasion in Ukraine …