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STICERD Econometrics Seminar Series

Info-Metrics for Modeling and Inference

Amos Golan (American University)

Wednesday 06 May 2020 14:00 - 15:30

32L 2.04, 2nd Floor Conference Room, LSE, 32 Lincoln's Inn Fields, London WC2A 3PH

Many of our seminars and public events this year will continue as online seminars or as online and in person. Please check our website listings and Twitter feed @STICERD_LSE for updates.

Unless otherwise specified, current restrictions mean in-person seminars are only open to members of the LSE community (those with a valid LSE ID card).

Those unable to join the seminars in-person are welcome to participate via zoom.


About this event

Our classical statistical arsenal for extracting truth from data often fails to produce correct predictions. Uncertainty, blurry evidence and multiple possible solutions may trip up even the best interrogator. 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. My talk will be based on my new book ‘Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information,’ http://info-metrics.org/ in which I develop and examine the theoretical underpinning of info-metrics and provide extensive interdisciplinary applications. I 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.

STICERD Econometrics seminars are held on Thursdays in term time at 14.00-15.30, ONLINE, unless specified otherwise.

Seminar organisers: Professor Tai Otsu and Dr. Vassilis Hajivassiliou.

For further information please contact Lubala Chibwe, either by email: l.chibwe@lse.ac.uk.

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This event will take place in 32L 2.04, 2nd Floor Conference Room, LSE, 32 Lincoln's Inn Fields, London WC2A 3PH. The building is labelled on the map.

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