The objective of this paper is to analyze the data of a selected company using Markov
chains. The data about online customer journeys were analyzed. The authors found that …

We address the problem of learning the Markov order in categorical sequences that
represent paths in a network, ie, sequences of variable lengths where transitions between …

We present a hypothetical argument against finite-state processes in statistical language
modeling that is based on semantics rather than syntax. In this theoretical model, we …

Besides the different approaches suggested in the literature, accurate estimation of the order
of a Markov chain from a given symbol sequence is an open issue, especially when the …

This paper employs a discrete-time Markov chain (DTMC) stochastic process to investigate a
state/event based Markovian interrelationship between various solar activity indices …

We introduce a general method for the study of memory in symbolic sequences based on
higher-order Markov analysis. The Markov process that best represents a sequence is …

We investigate a class of estimators of the Markov order for stationary ergodic processes
which form a slight modification of the constructions by Merhav, Gutman, and Ziv in 1989 as …

CD4 cell count test is used to monitor the immunological status of the immune system. We
took an attempt to check the efficacy of a HIV treatment based on the progression of CD4 cell …

Inspired by Hilberg's hypothesis, which states that mutual information between blocks for
natural language grows like a power law, we seek for links between power-law growth rate …

Objetivo: Este estudo visa contribuir para a extensão do conhecimento em modelos de
atribuição aplicados na jornada do cliente do Ensino Superior (HECJ). Metodologia: Um …