Applications of Bigdata Technologies in the Comparison of BMTD and ARIMA Models for the Prediction of Internet Congestion

MY Hassan - IEEE Access, 2024 - ieeexplore.ieee.org
The pace in the development and adoption of the new technologies for bigdata analytics has
changed dramatically over the last several decades, and the amount of data being digitally …

The analysis of inequality in life trajectories: an integration of two approaches

D Bolano, A Berchtold - … of Contemporary Inequalities and the Life …, 2021 - taylorfrancis.com
This chapter presents and discusses two complementary statistical approaches for
analyzing trajectories in a life course perspective: Sequence analysis and Markovian …

GenMarkov: Modeling generalized multivariate Markov chains in R

C Vasconcelos, B Damásio - arxiv preprint arxiv:2202.00333, 2022 - arxiv.org
This article proposes a new generalization of the Multivariate Markov Chains (MMC) model.
The future values of a Markov chain commonly depend on only the past values of the chain …

The Predictive Power of Transition Matrices

A Berchtold - Symmetry, 2021 - mdpi.com
When working with Markov chains, especially if they are of order greater than one, it is often
necessary to evaluate the respective contribution of each lag of the variable under study on …

[HTML][HTML] “The Mixture Transition Distribution Model and Other Models for High-Order Dependencies”

A Berchtold - Symmetry, 2022 - mdpi.com
High-order Markov chains are very useful for the analysis of complex temporal relationships,
but they generally require a very high number of parameters. A good approach is then to …

Generalized multivariate Markov chains: estimation, inference and implementation in R

CMA e Vasconcelos - 2021 - search.proquest.com
Este trabalho propõe uma nova generalização do modelo de Cadeias de Markov
Multivariadas. Tipicamente, uma cadeia de Markov é descrita pelos valores passados do …