Copula modeling for serial dependence has been extensively discussed in a time series
context. However, fitting copula-based Markov models for serially dependent survival data is …

The manuscript addresses the copula-based CUSUM charting scheme to monitor infectious
disease. To facilitate the disease surveillance, the Poisson distribution is often used to …

In this paper, we are proposing a flexible method for constructing a bivariate generalized
Farli-Gumbel-Moergenstern (G-FGM) copula family. The method is mainly developed …

A class of bivariate integer-valued time series models was constructed via copula theory.
Each series follows a Markov chain with the serial dependence captured using copula …

Near misses are an important type of accident precursor because they provide insights into
failure-generating mechanisms, help understand safety risks, and guide necessary …

Predicting the near-future delay with accuracy for trains is momentous for railway operations
and passengers' traveling experience. This work aims to design prediction models for train …

The ability of government agencies to assign accurate ages of fish is important to fisheries
management. Accurate ageing allows for most reliable age‐based models to be used to …

A copula-based Markov chain model can flexibly capture serial dependence in a time series.
However, the computational developments for copula-based Markov models remain …

The growing penetration of renewable energy sources (RES) increases the uncertainties in
the operation and planning of power systems, which require proper probabilistic models …

Source coding maps elements from an information source to a sequence of alphabetic
symbols. Then, the source symbols can be recovered exactly from the binary units. In this …