Pairwise sharding plus consensus MCMC lets a single neural posterior estimator fit drift diffusion models across designs with accuracy close to full MCMC.
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Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model
Pairwise sharding plus consensus MCMC lets a single neural posterior estimator fit drift diffusion models across designs with accuracy close to full MCMC.