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Listen now (80 min) | Ep. 7: Meta open sourced a model, weights, and dataset 400x larger than the previous SOTA. Joseph introduces Computer Vision for developers and what's next after OCR and Image Segmentation are solved.
Sample designs are typically developed to estimate summary statistics such as means, proportions and prevalences. Analytical outputs may also be a priority but there are fewer methods and results on how to efficiently design samples for the fitting and estimation of statistical models. This paper develops a general approach for determining efficient sampling designs for probability-weighted maximum likelihood estimators and considers application to generalized linear models. We allow for non-ignorable sampling, including outcome-dependent sampling. The new designs have probabilities of selecti...