Information and Inference: a Journal of the IMA

Editors: Robert Calderbank, Duke University, David Donoho, Stanford University, John Shawe-Taylor, University College London and Jared Tanner, University of Oxford.

Aims and scope

This journal aims to publish high quality mathematically-oriented articles, furthering the understanding of the theory, methods of analysis, and algorithms for information and data. Articles should be written in a way accessible to researchers in the associated topics in pure and applied mathematics, statistics, computer sciences, and electrical engineering. Articles are published in, but not limited to: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry. Editorial Board Subscription information and author guidelines  

Contact Information

For more information contact Jared Tanner: [email protected] . Find out about funding available for Open Access publishing