The foreign exchange markets, renowned as the largest financial markets globally, also
stand out as one of the most intricate due to their substantial volatility, nonlinearity, and …

In this paper, a novel method for long-term data segmentation in the context of machine
health prognosis is presented. The purpose of the method is to find borders between three …

This article introduces a novel approach to forecasting gold prices over an extended period
by leveraging a sophisticated stochastic process. Departing from traditional models, our …

Diagnostics of industrial machinery is a topic related to the need for damage detection, but it
also allows to understand the process itself. Proper knowledge about the operational …

Predicting remaining useful life (RUL) plays a critical role in condition-based maintenance
(CBM). However, this task remains challenging as the collected data often has time-varying …

The paper discusses the challenge of evaluating the prognosis quality of machine health
index (HI) data. Many existing solutions in machine health forecasting involve visual …

Stochastic models traditionally used to describe metals' prices have proved not to be
suitable to represent the dynamic behavior and time-related nature of metal markets. Rates …

The Ornstein–Uhlenbeck process is widely used in modeling biological systems and, in
financial engineering, is commonly employed to describe the dynamics of interest rates …

The foreign exchange markets, renowned as the largest financial markets globally, also
stand out as one of the most intricate due to their substantial volatility, nonlinearity, and …

The Skewed Generalised t (SGT), which has a bell shape, is more suitable to reflect market
returns behaviour and its extreme drops and rises than the Normal distribution. This …