Information Geometry (Springer 2017) by SFI Professor Nihat Ay, External Professor Jürgen Jost (Max Planck Institute), Hông Vân Lê (Czech Academy of Sciences), and Lorenz Schwachhöfer (TU Dortmund Uni-versity) will become the standard reference for the eponymous branch of mathematics. The book provides a comprehensive introduction and a novel mathematical foundation for the field of information geometry, with complete proofs, background material, and application highlights. Written for scientists who are interested in the mathematical founda-tions of complex systems, the text will also appeal to statisticians and mathematicians who are interested in geometry, information theory, or the foundations of statistics.
Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information (Oxford University Press 2017) by SFI External Professor Amos Golan (American University) offers an overview of info-metrics: modeling, reasoning, and inference in conditions of noisy and incomplete information. We often don’t have all the information we need to make a decision, so we find solutions derived from the information available and a choice of inferential procedure. Golan’s book lays out a number of real- world, multidisciplinary case studies where a simple, general framework of info-metrics helps optimize predictions and decision-making.
From the Winter 2017 Parallax Newsletter. To subscribe to the paper newsletter, email firstname.lastname@example.org.