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20142025
most citedRisk-based decision making: estimands for sequential prediction under interventions

4 citations · 9 across the 9 of their papers we have counts for

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2 papers · 1 filter

math.ST2014

Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It

Peter Grünwald, Thijs van Ommen

We empirically show that Bayesian inference can be inconsistent under misspecification in simple linear regression problems, both in a model averaging/selection and in a Bayesian r…

stat.ME2014

Combining predictions from linear models when training and test inputs differ

Thijs van Ommen

Methods for combining predictions from different models in a supervised learning setting must somehow estimate/predict the quality of a model's predictions at unknown future inputs…