CAREER: Extending the reach of empirical Bayes: Calibration, nuisance parameters, likelihood asymptotics, and machine learning

Scientists across various fields face the challenge of answering numerous related questions with limited or noisy data. For example, genomicists may need to assess thousands of genes using data from only a few subjects, while survey statisticians might analyze average incomes in many towns based on limited surveys. To address these challenges,…