Chapter 9 Causal and Predictive Modeling in Computational Social Science
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Cellulose nanomaterials review: structure, properties and nanocomposites
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This critical review provides a processing-structure-property perspective on recent advances in cellulose nanoparticles and composites produced from them. It summarizes cellulose nanoparticles in terms of particle morpho...
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Página del recursoModeling of species distributions with Maxent: new extensions and a comprehensive evaluation
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Accurate modeling of geographic distributions of species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time...
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Material complementarioStructural equation modeling in practice: A review and recommended two-step approach.
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In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that empl...
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Página del recursoBuilding Predictive Models in <i>R</i> Using the <b>caret</b> Package
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The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training...
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Página del recursoAn Overview of CMIP5 and the Experiment Design
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The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide ...
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Página del recursoDecision Analytics Journal
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Subjects / keywords: decision analytics, data-driven decision making, predictive modeling, prescriptive analytics, decision science, optimization; Social Sciences: Commerce: Business: Business mathematics. Commercial arithmetic. Including ta...
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Material complementarioHarvard Data Science Review
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Article
Subjects / keywords: data science, artificial intelligence, data analytics, predictive modeling, cybersecurity, algorithms; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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