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• W2773052431 abstract "The Multiregression Dynamic Model (MDM) is a multivariate graphical model for a multidimensional time series that allows the estimation of time-varying effective connectivity. An MDM is a state space model where connection weights reflect the contemporaneous interactions between brain regions. Because the marginal likelihood has a closed form, model selection across a large number of potential connectivity networks is easy to perform. With application of the Integer Programming Algorithm, we can quickly find optimal models that satisfy acyclic graph constraints and, due to a factorisation of the marginal likelihood, the search over all possible directed (acyclic or cyclic) graphical structures is even faster. These methods are illustrated using recent resting-state and steady-state task fMRI data." @default.
• W2773052431 created "2017-12-22" @default.
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• W2773052431 date "2017-11-01" @default.
• W2773052431 modified "2023-10-09" @default.
• W2773052431 title "Studying the effective brain connectivity using multiregression dynamic models" @default.
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• W2773052431 doi "https://doi.org/10.1214/17-bjps375" @default.
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