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Can I read Causal Analytics for Applied Risk Analysis Volume 270 || on EtoBox?
Causal Analytics for Applied Risk Analysis Volume 270 || by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun is a nonfiction available to read on EtoBox.
What is Causal Analytics for Applied Risk Analysis Volume 270 || about?
Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives. The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit
Who reads Causal Analytics for Applied Risk Analysis Volume 270 ||?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun
- Publisher
- Springer International Publishing
- Published
- 2018
- Language
- EN
- ISBN
- 9783319782423
- Category
- nonfiction
- Subjects
- Management, Mathematics, Business
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