The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.
具体描述
读后感
Probability theory as extended logic. ##preface ### comparisons The author violently slashes frequentist statistics. Bayesian analysis is kinda speculative, amouting to expressing some prior knowledge or working hypothesis, while Maximum Entropy method is n...
评分现在回过头来再看看这本书的前言，只能说，庆幸自己能看到 E. T. Jaynes 的这本了用半个世纪完成的著作。因为就在几年前的概率论课上我学的还是那种由一些基本的奇怪的论述构建起的令人十分不安的理论，比如说扔一个均匀硬币头朝上的概率是二分之一（你要证实这一点只要扔无数...
评分Absolutely stunning work with fantastic ideas presented, even though I couldn’t understand most of them. I got a very weird feeling when reading the book: intellectually challenged (even humiliated) while mentally satisfying ( even breathtaking).
评分Absolutely stunning work with fantastic ideas presented, even though I couldn’t understand most of them. I got a very weird feeling when reading the book: intellectually challenged (even humiliated) while mentally satisfying ( even breathtaking).
评分Probability theory as extended logic. ##preface ### comparisons The author violently slashes frequentist statistics. Bayesian analysis is kinda speculative, amouting to expressing some prior knowledge or working hypothesis, while Maximum Entropy method is n...
用户评价
概率论的哲学视角，深邃，富有洞见且美丽
评分Jaynes想写得太多，又想写得太全，于是书很厚，写得略苦，读得略晦涩，但仍是一本好书，因为阅读它能感受到一个物理学家一生追求的厚重
评分這書太過給力..結果剛到第四章就看不進去了..(。_。)
评分Jaynes想写得太多，又想写得太全，于是书很厚，写得略苦，读得略晦涩，但仍是一本好书，因为阅读它能感受到一个物理学家一生追求的厚重
评分Jaynes想写得太多，又想写得太全，于是书很厚，写得略苦，读得略晦涩，但仍是一本好书，因为阅读它能感受到一个物理学家一生追求的厚重
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