Peter Bühlmann is a prominent statistician known for his contributions to statistical theory, particularly in the fields of high-dimensional statistics, causal inference, and machine learning. He has worked on various statistical methods and their applications, often focusing on challenges arising in modern data analysis, such as variable selection and model estimation in high-dimensional settings. Bühlmann has published numerous research papers and has been influential in advancing the understanding of complex statistical models and their applications in various areas, including economics and biology.
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