Kawano, S. (STAT) – Model Validation and Dependent Shrinkage Priors for Small Area Estimation
Engineering 2 Engineering 2 1156 High Street, Santa Cruz
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This dissertation addresses two questions in survey methodology: How can we produce granular, reliable estimates? And how can we validate them without ground truth? We develop three methods: (1) Gaussian data thinning enables out-of-sample model validation using only direct survey estimates and their sampling variances. We characterize its bias–variance tradeoff to guide model comparison. — […]
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LLM workloads are shifting from chat to agents: one task becomes tens of model calls, dispatched along a graph the harness holds and repeating the same instructions. This execution is […]
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