What is it about?
Bayesian computation for a hybrid switching diffusion process.
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Why is it important?
Random time data imputation for switching diffusion process with hidden states estimation by a forward filtering backward smoothing algorithm.
Perspectives
The model and the methods used should be explored to compare treatments for disease progression as well as to follow and monitor disease evolution in patients.
EL HOUCINE HIBBAH
Faculty of Sciences and Technics Beni Mellal
Read the Original
This page is a summary of: An MCMC computational approach for a continuous time state-dependent regime switching diffusion process, Journal of Applied Statistics, October 2019, Taylor & Francis,
DOI: 10.1080/02664763.2019.1677573.
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