Several methods exist in classification literature to quantify the similarity between two time
series data sets. Applications of these methods range from the traditional Euclidean-type …

In this paper, we propose a novel approach for classifying incoming continuous data under a
non-stationary environment. A class of estimators termed stochastic learning weak …

In computer science, stochastic processes, and industrial engineering, stationarity is often
taken to imply a stable, predictable flow of events and non-stationarity, consequently, a …

Hawaiian volcanoes such as Kilauea and Mauna Loa have drawn the attention of
researchers for quite some time and numerous theories abound hinting at a possible inverse …

To a practitioner who chooses to test the robustness while keeping track of all the
perspectives, angles, and elements of a study's conclusions in the data analysis, we offer an …

Abstract Hidden Markov models (HMMs), especially those with a Poisson density governing
the latent state-dependent emission probabilities, have enjoyed substantial and undeniable …

This study identified the determinants of hiking tourism demands to bridge the gap resulting
from the absence of evidence in the tourism literature. The main survey was administered …

Hurricanes originating in the West Atlantic often have devastating consequences on the
cities in the US east coast, both monetary and otherwise, and hence pose a source of …

Point processes often serve as a natural language to chronicle an event's temporal
evolution, and significant changes in the flow, synonymous with non-stationarity, are usually …

To a practitioner who chooses to be on the safe side, we offer an option between a cocktail
of tests and a solo one-size-fits-all test as a needed antidote to power asymmetries. Two …