Stochastic models have become indispensable tools for understanding growth dynamics in complex systems. By incorporating randomness and uncertainty into the modelling framework, these methods provide ...

There is hardly any literature on modelling nonlinear dynamic relations involving nonnormal time series data. This is a serious lacuna because nonnormal data are far more abundant than normal ones, ...

Abstract: In water resources planning and management, stochastic modeling and simulation of hydrologic time series has been widely used for various purposes including decision making and project ...

Spot prices in energy markets exhibit special features, such as price spikes, mean reversion, stochastic volatility, inverse leverage effect, and dependencies between the commodities. In this paper a ...

Impact of Health-Related Quality of Life and Prediagnosis Risk of Major Depressive Disorder on Treatment Choice for Stage I Lung Cancer We aggregated patient-level data from 17 randomized clinical ...