比较凯恩斯对概率的逻辑方法和任何“客观贝叶斯”的概率方法需要结合凯恩斯的《概率论》的所有五个部分,而不仅仅是第一部分

M. E. Brady
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引用次数: 0

摘要

近一百年来,哲学家、历史学家、经济学家、决策理论家和心理学家一直在重复一个非常严重的遗漏错误,这个错误最初是由法国数学家埃米尔·博雷尔(Emile Borel)在1924年对《概率论》(a Treatise on Probability, 1921)的评论中提出的。博雷尔决定跳过《概率论》的第二到第五部分。他在评论一开始就明确地向凯恩斯道歉,因为他决定跳过第二部分,并正确地向凯恩斯承认,第二部分是《概率论》中最重要的部分。事实上,博雷尔的承认和道歉是轻描淡写的,因为不理解第二部分,就不可能理解凯恩斯的决策理论以及该理论在《通论》(1936)中所扮演的角色。这一切都出现在1937年和1938年的凯恩斯-汤森交流中,凯恩斯向汤森清楚地表明,他的流动性偏好理论是建立在他的非数值概率之上的,第二部分的阅读清楚地表明,这是区间值概率,每个概率都有上限和下限。这些概率是非加性的。凯恩斯在脚注1第12章第148页对不确定性的定义将不确定性定义为凯恩斯论证的证据权重的反函数,定义在0和1之间的单位间隔上。任何带有w <的概率;1是一个非加性的区间值概率。讨论凯恩斯不确定性的唯一方法是通过非加性、区间值概率或像凯恩斯的c系数这样的决策权重。P. Rowbottom试图为凯恩斯的立场辩护,反对J. Williamson的智力攻击,我认为这是正确的。然而,Rowbottom为凯恩斯的立场提供的辩护,仅限于使用《概率论》(a Treatise on Probability)的第一部分,这严重阻碍了他自己的观点。如果Rowbottom理解了凯恩斯的区间值概念,《概率论》第二部分中不精确概率的非加性理论,《概率论》第三部分中凯恩斯的有限概率,《概率论》第四部分第26章中凯恩斯对不精确概率的决策权重翻译,以及凯恩斯的不精确,在第五部分中,凯恩斯将近似方法与切比雪夫不等式的应用相结合,建立了概率估计的下界。从1940年Koopman的工作开始,一直到H. Kyburg,Jr.,I。Levi, I. J. Good,再到B. weatherson, D. Rowbottom, B. Hill, S. Bradley以及几乎所有写过凯恩斯和不精确概率的学者的作品,同样的遗漏错误在100年里一遍又一遍地重复。
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A Comparison of J. M. Keynes’s Logical Approach to Probability and Any ‘Objective Bayesian’ Approach to Probability Needs to Incorporate All Five Parts of Keynes’s a Treatise on Probability, Not Just Part I
Philosophers, historians, economists, decision theorists, and psychologists have been repeating a very severe error of omission for nearly a hundred years that was originally made by the French mathematician Emile Borel in his 1924 review of the A Treatise on Probability, 1921. Borel decided to skip Parts II through V of the A treatise on Probability. He explicitly apologized to Keynes at the beginning of his review for his decision involved in skipping Part II, acknowledging to Keynes, correctly, that Part II was the most important part of the A Treatise on Probability.

Borel’s acknowledgment and apology are, in fact, an understatement, because without an understanding of Part II,it is impossible to understand Keynes’s theory of decision making and the role played by that theory in the General Theory(1936). This all comes out in the Keynes-Townshend exchanges of 1937 and 1938, where Keynes makes it crystal clear to Townshend that his theory of liquidity preference is built on his non numerical probabilities, which a reading of Part II makes clear are interval valued probabilities, each with an upper bound and a lower bound. These probabilities are non additive. Keynes’s definition of uncertainty on page 148 of chapter 12 in footnote 1 defines uncertainty as an inverse function of Keynes’s evidential weight of the argument, defined on the unit interval between 0 and 1. Any probability with a w < 1 is an interval valued probability that is non additive. The only way to discuss Keynesian uncertainty is by non additive, interval valued probability or by decision weights like Keynes’s c coefficient.

D. P. Rowbottom attempts a defense of Keynes’s position against J. Williamson’s intellectual attacks which I view as correct. However, Rowbottom badly handicaps himself by providing a defense of Keynes’s position that is limited to the use of Part I of the A Treatise on Probability. Rowbottom could have presented an overwhelming counter argument against Williamson if he had understood Keynes’s concepts of interval valued, non additive theory of imprecise probability from Part II of the A Treatise on Probability, Keynes’s finite probabilities from Part III, Keynes’s decision weight translation of imprecise probability in chapter 26 of Part IV and Keynes’s inexact, approximation approach to statistics in Part V that Keynes combined with his application of Chebyshev’s Inequality for establishing the lower bound of a probability estimate.

Starting with the 1940 work of Koopman and continuing through the work of,for example H. Kyburg,Jr.,I. Levi, I. J. Good,and then on to the work of for example, B.Weatherson, D. Rowbottom, B. Hill, S. Bradley and practically all other academics who have written on Keynes and imprecise probability, the exact same error of omission has kept on repeating itself over and over again for a 100 years.
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