Yvik Swan
About
Yvik Swan has authored 26 papers that have received a total of 275 indexed citations.
This includes 24 papers in Statistics and Probability, 8 papers in Applied Mathematics and 7 papers in Artificial Intelligence. The topics of these papers are Random Matrices and Applications (19 papers), Point processes and geometric inequalities (5 papers) and Bayesian Methods and Mixture Models (5 papers). Yvik Swan is often cited by papers focused on Random Matrices and Applications (19 papers), Point processes and geometric inequalities (5 papers) and Bayesian Methods and Mixture Models (5 papers) and collaborates with scholars based in Belgium, United Kingdom and France. Yvik Swan's co-authors include Christophe Ley, Gesine Reinert, Robert E. Gaunt, Thomas Verdebout and François‐Xavier Briol and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Mathematical Analysis and Applications and Journal of Functional Analysis
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