Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron

In 2024, Andrew Barron turned 65 and retired. This is a Festschrift volume honoring his career and contributions. Andrew R. Barron, a professor of Statistics and Data Science at Yale University, has been one of the most influential figures in information theory research over the past 40 years.He has made profound, broad and consistent contributions to information theory, as well as its interactions with probability theory, statistical learning, and neural networks.From his Ph.D. thesis work in 1985 until today, Barron has been recognized as a leader in both information theory and statistics, especially in the area where the two fields intersect and fertilize each other.There has been a powerful tradition of important work on this interface and it has had a strong impact on both fields.Through the introduction of novel ideas and techniques, and through his outstanding scholarship, Barron has clarified some of the foundations of the mathematical and statistical side of Shannon theory, an