Advances in Info Metrics is popular PDF and ePub book, written by Min Chen in 2020, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Advances in Info Metrics can be Read Online from any device for your convenience.
Advances in Info Metrics Book PDF Summary
"Info-metrics is a framework for rational inference on the basis of limited, or insufficient, information. It is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. Info-metrics has its roots in information theory (Shannon, 1948), Bernoulli's and Laplace's principle of insufficient reason (Bernoulli, 1713) and its offspring the principle of maximum entropy (Jaynes, 1957). It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. Within a constrained optimization setup, info-metrics provides a simple way for modeling and understanding all types of systems and problems. It is a framework for processing the available information with minimal reliance on assumptions and information that cannot be validated. Quite often a model cannot be validated with finite data. Examples include biological, social and behavioral models, as well as models of cognition and knowledge. The info-metrics framework extends naturally for tackling these types of common problems"--
Detail Book of Advances in Info Metrics PDF
- Author : Min Chen
- Release : 20 September 2024
- Publisher : Oxford University Press, USA
- ISBN : 9780190636685
- Genre : Business & Economics
- Total Page : 557 pages
- Language : English
- PDF File Size : 19,5 Mb
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