A modified algorithm of 'forward-backward' solving the identification of automata Markov models
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 The paper is devoted to solving the problem of identifying discrete stochastic processes generated on the basis of automata Markov models. This problem is relevant because of the need to increase the efficiency of automata Markov models recognition.
A.R. Nurutdinova
doaj
Optimal distribution of vehicular traffic flow with Dijkstra’s algorithm and Markov chains
African Scientific ReportsThe optimization of traffic distribution is a critical problem in transportation networks, where efficient routing can reduce congestion, minimize travel time, and improve overall traffic flow.
L. I. Igbinosun, N. R. Udoenoh
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Industry Portfolio Volatility Connections and Industry Portfolio Returns
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
Markov chains improve the significance computation of overlapping genome annotations. [PDF]
Bioinformatics, 2022 Gafurov A, Brejová B, Medvedev P.
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Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China
International Studies of Economics, EarlyView.ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley +1 more source
A point on discrete versus continuous state-space Markov chains
Dependence ModelingThis article investigates the effects of discrete marginal distributions on copula-based Markov chains. We establish results on mixing properties and parameter estimation for a copula-based Markov chain model with Bernoulli(pp) marginal distributions ...
Muia Mathias, Longla Martial
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Modified Engel Algorithm and Applications in Absorbing/Non-Absorbing Markov Chains and Monopoly Game
Mathematical and Computational ApplicationsThe Engel algorithm was created to solve chip-firing games and can be used to find the stationary distribution for absorbing Markov chains. Kaushal et al.
Chunhe Liu, Jeff Chak Fu Wong
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Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017-2020. [PDF]
Obes Sci Pract, 2023 Huang AA, Huang SY.
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JCPP Advances, EarlyView.Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl +4 more
wiley +1 more source
Extracting Rules via Markov Chains for Cryptocurrencies Returns Forecasting. [PDF]
Comput Econ, 2023 Nascimento KKFD +4 more
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