Impact Evaluation in Firms and Organizations: With Applications in R and Python
暫譯: 企業與組織的影響評估：R 與 Python 應用實例

Martin Huber is Professor of Applied Econometrics at the University of Fribourg, Switzerland, where his research comprises both methodological and applied contributions in the fields of causal analysis and impact evaluation, machine learning, statistics, econometrics, empirical economics, and business analytics. He is the author of Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R (MIT Press).

馬丁·胡伯（Martin Huber）是瑞士弗里堡大學的應用計量經濟學教授，他的研究涵蓋因果分析與影響評估、機器學習、統計學、計量經濟學、實證經濟學以及商業分析等領域的理論方法與應用貢獻。他是《因果分析：影響評估與因果機器學習在 R 中的應用》（Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R，麻省理工學院出版社）的作者。