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Open access

Research article

First published 2016-9

A dynamic Markov chain prediction model for delay-tolerant networks

Il-kyu Jeon, Kang-whan Lee

International Journal of Distributed Sensor Networks

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Research article

First published 2008-5

Modeling dynamic substate chains among massive states

Viet Phuong Nguyen, Takashi Washio

Intelligent Data Analysis: An International Journal

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Research article

First published 2010-04

Transfer functions in dynamic generalized linear models

Mariane B Alves, Dani Gamerman, Marco AR Ferreira

Statistical Modelling

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Research article

First published 2015-7

Quantifying Parameter and Structural Uncertainty of Dynamic Disease Transmission Models Using MCMC

Joke Bilcke, Ruth Chapman, Christina Atchison [...]

Medical Decision Making

Open access

Research article

First published 2016-11

Dynamic reliability prediction of bridge member based on Bayesian dynamic nonlinear model and monitored data

Xueping Fan, Yuefei Liu

Advances in Mechanical Engineering

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Research article

First published 2023-10

RETRACTED: Big data Markov chain model based dynamic evolution of regional gap—Take China’s highway resources as an example

Xin Sheng, Xiaoci Lin, Lijun Deng [...]

International Journal of Electrical Engineering & Education

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Research article

First published 2020-6

Exploring the randomness of mentally generated head–tail sequences

S Baena-Mirabete, Anna Espinal, Pedro Puig

Statistical Modelling

Free access

Research article

First published 2019-6

mixmcm: A community-contributed command for fitting mixtures of Markov chain models using maximum likelihood and the EM algorithm

Legrand D. F. Saint-Cyr, Laurent Piet

The Stata Journal: Promoting communications on statistics and Stata

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Research article

First published 2021-1

Bayesian quantile nonhomogeneous hidden Markov models

Hefei Liu, Xinyuan Song, Yanlin Tang [...]

Statistical Methods in Medical Research

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Research article

First published 1974-12

A Markovian Entropy-Maximizing Model of Population Distribution

R Lee

Environment and Planning A: Economy and Space

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