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).
用户评价
You'd be surprised how motivated people are.
评分好书
评分想读，可是里面都是英文，呵呵呵，莫名打个5分，呵呵呵
评分概率论的哲学视角，深邃，富有洞见且美丽
评分很有G.Polya的风范，序言里提到，这是一本没有完成作者就已经去世的书，去世前作者拜托编辑帮他出版，尽管如此，这依然是我今年读到的书里分量最重也是读得最细的一本，读完仍然觉得值得一读再读。虽然总体是关于Bayesian统计的，里面可以读到的东西却很多，关于数学，量子物理都有涉及，讲得也比较本源。感觉对于频率学派的批判这本书里见到的是最多的，也是最详细最系统的，比如关于p值完全不靠谱的论述和各种悖论读起来都让人兴奋，即使忽略里面的公式，读起来也依然十分精彩！
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