Survey Statistics: design-based cross validation (dCV)
Statistical Modeling, Causal Inference, and Social Science 2026-03-31
Summary:
Last week we saw how cross-validation noise can swamp important model differences (Wang & Gelman 2014). The comments raised another challenge: how to split into train and test sets with structured data ? Aki explains options here: Thomas Lumley’s blog … Continue reading →