Info-metrics – the science of modeling, reasoning, and drawing inferences under conditions of insufficient and noisy information – provides a consistent and efficient framework for constructing models and theories with minimal assumptions. Situated at the intersection of information theory, statistical inference, and economic/econometric modeling, info-metrics reveals the simplest solution, model or story, that is hidden in the observed information. Amos Golan's talk will be based on his new book Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information, in which he develops and examines the theoretical underpinning of info-metrics and provides extensive interdisciplinary applications.
Amos will discuss the basic ideas via a small number of graphical representations of the model and theory and will then present a number of interdisciplinary real-world examples of using that framework for modeling and inference.
For more information, visit http://info-metrics.org/.
About the speaker
Amos Golan (BA, MS: Hebrew University of Jerusalem; PhD: UC Berkeley) is a professor of economics and directs the Info-Metrics Institute at American University. He is also an External Professor at the Santa Fe Institute and a Senior Associate at Pembroke College, Oxford. His research is primarily in the interdisciplinary field of info-metrics - the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. He has published in economics, econometrics, statistics, mathematics, physics, visualisation and philosophy journals. His most recent book is Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information, OUP (2018).
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