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 class of bivariate integer-valued time series models, described via copula theory, is
gaining popularity in the literature because of applications in health sciences, engineering …

This paper proposes a method for change-point estimation, focusing on detecting structural
shifts within time series data. Traditional maximum likelihood estimation (MLE) methods …

This paper presents a novel count time-series model, named integer-valued Split-BREAK
process of the first order, abbr. INSB (1) model. This process is examined in terms of its basic …

A first-order autoregressive time series model with binomial distributed random variables
has been developed using the copula-based Markov chain model approach. By still utilizing …

Classical probability of informed trading (PIN) models assume that, given the information
scenario, the number of buy and sell order flows are independently Poisson distributed …

The ability to assign accurate ages of fish is important to fisheries management. Accurate
ageing allows for the most reliable age-based models to be used to support sustainability …

Count time series data have multiple applications. The applications can be found in areas of
finance, climate, public health and crime data analyses. In most scenarios, time is an …

Throughout the history of our country, different policies have left an incentive for favorable
changes, however, none by itself has managed to combat the problems of chronic …