Author

Niek Stevenson

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#machine learning Preprint Oct 2026

Semi-Amortized Bayesian Inference with Reusable Local Posteriors

Amortized Bayesian inference uses simulations to perform Bayesian estimation when likelihoods are expensive or analytically unavailable. However, learning the full joint posterior is challenging in high-dimensional models with complex dependencies. We introduce a semi-amortized method that divides parameters into small...

Niek Stevenson, Paul-Christian Burkner, Andrew Heathcote et al. · 0 citations

Open access Aug 2026

Disentangling within- and between-subject correlations in cognitive models: The essential role of hierarchical estimation

Cognitive models, such as evidence-accumulation models, are increasingly used in individual differences research in psychology and neuroscience. By computing correlations between cognitive model parameters across participants, researchers aim to understand how the psychological processes the parameters represent relate...

Michelle C. Donzallaz, Niek Stevenson, Andrew Heathcote et al. · Behavior Research Methods · 0 citations