The philosophy behind the Info-Metrics Institute is that information, information processing and entropic inference provide a unified approach to inference and learning across disciplines. The Institute's mission is to promote the interdisciplinary study of information, information processing and decision rules based on efficient use of information. That mission is achieved through collaborations among researchers across the scientific spectrum and dissemination of knowledge through conferences, workshops and seminars as well as through short-term, hands-on classes at the graduate and post-graduate level.
The Institute was established in August 2009. The Institute meets a growing need to connect researchers across disciplines who are working on issues related to information processing and inference with limited information, including the fundamental problem of how to connect the observed and unobserved quantities in a coherent way.
In Memoriam: Halbert White
Spring Workshop: Information, Causal Models and Model Diagnostics
April 14-15 2018
Carnegie Mellon University
Fall Seminar with Aman Ullah (UC Riverside)
Sep 13, 2017 12:00 PM - 1:00 PM
Rm. 100, Kreeger Building, American University
"Information Theoretic Estimation of Econometric Functions"
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