Grunwald Lab

Research focus

ERC Advanced Grant · 2023

Flexible Statistical Inference

Most statistical methods require that all aspects of data collection and inference are determined in advance, independently of the data. These include when to stop collecting data, what decisions can be made (e.g. accept/reject hypothesis, classify new point) and how to measure their quality (e.g. loss function/significance level). This is wildly at odds with the flexibility required in practice! It makes it impossible to achieve error control in meta-analyses, and contributes to the replication crisis in the applied sciences. I will develop a novel statistical theory in which all data-collection and decision-aspects may be unknown in advance, possibly imposed post-hoc, depending on data…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.