97 citations · 164 across the 14 of their papers we have counts for
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stat.ME2022★ 4 cited
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive Models
Lukas Schumacher, Paul-Christian Bürkner, Andreas Voss +2
Mathematical models of cognition are often memoryless and ignore potential fluctuations of their parameters. However, human cognition is inherently dynamic. Thus, we propose to aug…
stat.ME2021★ 12 cited
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe +1
Neural density estimators have proven remarkably powerful in performing efficient simulation-based Bayesian inference in various research domains. In particular, the BayesFlow fram…