專題演講 主講人：Professor Kenichi Hayashi (Department of Mathematics, Keio University)

  • 事件日期: 2025-03-14
  • 演講者:  /  主持人:
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題　目：Divergence-based robust regression for binary response and its application to causal inference

主講人：Professor Kenichi Hayashi

(Department of Mathematics, Keio University)

時　間：114年3月14日(星期五)上午10:40-11:30
　　　　(上午10:20-10:40茶會於綜合一館428室舉行)

地　點：綜合一館427室
 
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摘要

Regression models for binary responses are frequently used in medical research. These models assume that the data are sampled from a specific population, but this assumption is often violated in practice due to the presence of outliers. This study introduces a general framework for regression models based on robust divergences, specifically Density Power Divergence and Gamma Divergence. We discuss specific loss functions derived under certain conditions. Furthermore, we apply this robust method to the problem of treatment effect estimation in randomized clinical trials.
 

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