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Tracing the origins of modern political thought through three sets of arguments over history, morality, and freedom In this wide-ranging work, Michael Sonenscher traces the origins of modern political thought and ideologies to a question, raised by Immanuel Kant, about what is involved in comparing individual human lives to the whole of human history. How can we compare them, or understand the results of the comparison? Kant’s question injected a new, future-oriented dimension into existing discussions of prevailing norms, challenging their orientation toward the past. This reversal made Kant’s question a bridge between three successive sets of arguments: between the supporters of the an...
Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and machine learning methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, user...
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Explores the issues and the use of best practice interpretation principles in bringing the Roman world to life for visitors and educational users. Issues in the public presentation and interpretation of the archaeology of Hadrian's Wall and other frontiers of the Roman Empire are explored and addressed here. A central theme is the need for interpretation to be people-focussed, and for visitors to be engaged through narratives and approaches which help them connect with figures in the past: daily life, relationships, craft skills, communications, resonances with modern frontiers and modern issues allprovide means of helping an audience to connect, delivering a greater understanding, better vi...
Abstract: In health research, statistical methods are frequently used to address a wide variety of research questions. For almost every analytical challenge, different methods are available. But how do we choose between different methods and how do we judge whether the chosen method is appropriate for our specific study? Like in any science, in statistics, experiments can be run to find out which methods should be used under which circumstances. The main objective of this paper is to demonstrate that simulation studies, that is, experiments investigating synthetic data with known properties, are an invaluable tool for addressing these questions. We aim to provide a first introduction to simu...