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Foundations of Info-Metrics : Modeling, Inference, and Imperfect Information by Amos Golan is a nonfiction available to read on EtoBox.
What is Foundations of Info-Metrics : Modeling, Inference, and Imperfect Information about?
## Abstract This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete framework for modeling and inference, rather than a problem-specific model. The framework evolves from the simple premise that our available information is often insufficient to provide a unique answer for decisions we wish to make. Each decision, or solution, is derived from the available input information along with a choice of inferential procedure. The book contains many multidisciplinary applications that demonstrate the simplicity and generality of the framework in real-world settings: These include initial diagnosis at an emergency room, optimal dose decisions, election forecast
Who reads Foundations of Info-Metrics : Modeling, Inference, and Imperfect Information?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Amos Golan
- Publisher
- Oxford University PressNew York
- Published
- 2017
- Language
- EN
- ISBN
- 9780199349531
- Category
- nonfiction
- Subjects
- Business, Mathematics, Technology
Other editions & translations
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