Gradient-free MCMC methods for dynamic causal modelling
نویسندگان
چکیده
منابع مشابه
Gradient-free MCMC methods for dynamic causal modelling
In this technical note we compare the performance of four gradient-free MCMC samplers (random walk Metropolis sampling, slice-sampling, adaptive MCMC sampling and population-based MCMC sampling with tempering) in terms of the number of independent samples they can produce per unit computational time. For the Bayesian inversion of a single-node neural mass model, both adaptive and population-bas...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2015
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2015.03.008