Info-Metrics Institute

Info-Metrics Roundtable

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

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"

Spring Seminar with Yongmiao Hong (Cornell)
Feb 15, 2017 12:00 PM - 1:00 PM
Rm. 100, Kreeger Building, American University
"Selection of an Optimal Rolling Window Length in Time-Varying Predictive Regression"

Fall One Day Workshop
Info-Metrics State of Research -- Past Present and Future

Thursday Nov. 3rd
American University

Fall One Day Seminar
with Min Chen (University of Oxford)

(cohosted with AU Economics Department)

"Can Soft Knowledge in Data Intelligence Be Measured?"
Nov. 2nd, 2016 12:00-1:00 PM
Room 100, Kreeger Building, American University

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