Abstract
Eigeninference Based on One- and Two-point Green’s Functions
Highlights
Ninety two years after random matrices first appeared in a research paper by the Scottish mathematician and agricultural statistician John Wishart, they have been applied in numerous areas, from nuclear physics and telecommunications, to statistical analysis of biological systems and financial markets
As we are settling ourselves in the information age, with the vast amounts of data being produced constantly and the growing complexity of information based systems, Random Matrix Theory seems to be more relevant than ever
Random Matrix Theory: Applications in the Information Era was held at the end of April 2019, at the medieval centre of Kraków, in Collegium Maius, the oldest building of our Alma Mater, the Jagiellonian University
Summary
Ninety two years after random matrices first appeared in a research paper by the Scottish mathematician and agricultural statistician John Wishart, they have been applied in numerous areas, from nuclear physics and telecommunications, to statistical analysis of biological systems and financial markets. As we are settling ourselves in the information age, with the vast amounts of data being produced constantly and the growing complexity of information based systems, Random Matrix Theory seems to be more relevant than ever.
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