Why Tb-NB / iTb-NB? Classical Naive Bayes outputs poorly-calibrated posterior probabilities when conditional independence is violated. Tb-NB sidesteps the issue by: The package implements the p-value ...

In instrumental variables (IV) estimation with many instruments, such as judge fixed effects designs, the precision of the jackknife-estimated first stage can vary widely across observations. When ...

This repository contains source code for Bayes-PFL implemented with PyTorch （Accepted by CVPR 2025）. Recently, vision-language models (e.g. CLIP) have demonstrated remarkable performance in zero-shot ...

Labor economists increasingly work in empirical contexts with large numbers of unit-specific parameters. These settings include a growing number of value-added studies measuring causal effects of ...