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Elements of Causal Inference

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Book Series: Adaptive Computation and Machine Learning series ISBN: 9780262344296 9780262037310 Year: Pages: 288 Language: English
Publisher: The MIT Press
Subject: Computer Science
Added to DOAB on : 2019-01-17 11:41:31
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Abstract

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Tools, Methodologies and Techniques Applied to Sustainable Supply Chains

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ISBN: 9783039283187 9783039283194 Year: Pages: 296 DOI: 10.3390/books978-3-03928-319-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2020-04-07 23:07:08
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Supply chains are currently globalized and companies operate internationally owing to the fact that raw materials, production processes, and the consumption of the final products are carried out in different countries. This implies high material and information flow, which incurs high costs associated with the supply chain and logistics, sometimes up to 60% of the total cost of the product. Therefore, companies seek to optimize their resources to reduce these costs and improve sustainability in a globalized market. This book, entitled Tools, Methodologies and Techniques Applied to Sustainable Supply Chains, contains 15 chapters that report case studies applied to industrial and service sectors. The authors come from areas such as Mexico, Colombia, Italy, Sweden, Slovakia, China, and Australia. They indicate how managers make use of tools and techniques to solve problems associated with supply chains to reduce their cost and remain competitive. A great effort has been made to analyze this problem, and the methodologies are clearly described here to facilitate the reproducibility of each technique and tool. This was done in the hope that hoping that they may one day be applied in more companies.

Keywords

tire waste management --- reverse logistics --- green logistics --- Mexico --- Russia --- remanufacturing --- closed-loop supply chain --- warranty decision --- contract coordination --- supply chain innovation --- systematic review --- social network analysis --- collaboration --- attributes --- green manufacturing --- benefits --- green supply chain --- sensitivity analysis --- sustainability --- genetic algorithm --- layout planning --- model --- sustainable manufacturing --- environmental assessment tool --- green lean --- pallet management strategy --- reusable handling system --- closed-loop network --- what-if analysis --- environmental impact --- electricity markets --- alpha-stable distribution --- alpha-stable regression --- electricity prices --- waste management --- residue collection --- urban logistics --- design of territories --- supply chain management --- hospital supply chain --- sustainable supply chain --- hospital logistics --- hospital sustainability --- healthcare logistics --- sustainable hospital management --- Sugarcane Crop Residues (SCRs) --- cogeneration --- optimization of bioenergy supply chain decisions --- delivering products --- travel time uncertainty --- fuzzy logic --- fuzzy linear programming --- urban road network --- reliability --- green supplier selection --- contract farming --- life cycle assessment --- environmental collaboration --- multi-objective optimization --- agro-food supply chain --- system dynamics --- systems thinking --- causal models --- healthcare services --- bearability --- sustainability --- MIPL --- VRP --- star network --- optimal plant location

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