Some results about randomized binary Markov chains: theory, computing and applications
DOI10.1080/00207160.2018.1440290zbMath1482.60100OpenAlexW2793227243MaRDI QIDQ5030574
A. Navarro-Quiles, M. D. Roselló, José Vicente Romero, Juan-Carlos Cortés
Publication date: 17 February 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2018.1440290
mathematical modellingfirst probability density functionrandom variable transformation techniquestatistical momentsrandomized binary Markov chain
Computational methods in Markov chains (60J22) Exact distribution theory in statistics (62E15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Biofilm growth on medical implants with randomness
- Solution of the stochastic radiative transfer equation with Rayleigh scattering using RVT technique
- Full solution of random autonomous first-order linear systems of difference equations. Application to construct random phase portrait for planar systems
- The probability density function to the random linear transport equation
- Random differential equations in science and engineering
- On data space selection and data processing for parameter identification in a reaction-diffusion model based on FRAP experiments
- Determining the first probability density function of linear random initial value problems by the random variable transformation (RVT) technique: a comprehensive study
- On the logistic equation subject to uncertainties in the environmental carrying capacity and initial population density
- Randomizing the parameters of a Markov chain to model the stroke disease: a technical generalization of established computational methodologies towards improving real applications
- Parameter estimation using polynomial chaos and maximum likelihood
- Markov Chains
This page was built for publication: Some results about randomized binary Markov chains: theory, computing and applications
