Stochastic EM with biased MCMC improves inference stability.
problem Intractable E-step in EM algorithm.
method Stochastic approximation with biased MCMC.
result ULA is more stable and sometimes faster than MALA.
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3 results for “MCMC-SAEM”
Method learns shape changes over time from longitudinal data.
problem Tackles learning shape trajectories from repeated observations.
method Combines statistical and deformation models on a diffeomorphism manifold.
result Shows gender and genetic differences in hippocampal atrophy progression.
Model learns spatiotemporal patterns on graphs from longitudinal data.
problem Learning spatiotemporal patterns on graphs from longitudinal data.
method Mixed-effects model with stochastic Expectation-Maximization algorithm (MCMC-SAEM).
result Personalized model accurately predicts cortical thickness maps in patients.