书目名称 | Uncertainty | 副标题 | The Soul of Modeling | 编辑 | William Briggs | 视频video | | 概述 | Presents a complete argument showing why probability should be treated as a part of logic.Broadens understanding beyond frequentist and Bayesian methods, proposing a Third Way of modeling.Proposes tha | 图书封面 |  | 描述 | This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." .The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. .Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the | 出版日期 | Textbook 2016 | 关键词 | probability; statistics; philosophy; cause; evidence; models; modeling; epistemology; philosophy of uncertai | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-39756-6 | isbn_softcover | 978-3-319-81958-7 | isbn_ebook | 978-3-319-39756-6 | copyright | Springer International Publishing Switzerland 2016 |
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