Free download and read ebooks online Statistical Consequences Of Fat Tails - Real World Preasymptotics, Epistemology, And Applications by Nassim Nicholas Taleb full book PDF ePUB Audiobook. Download a free ebooks and kindle audiobook Statistical Consequences Of Fat Tails - Real World Preasymptotics, Epistemology, And Applications with ISBN id 9781544508054 full page with book summary. Nassim Nicholas Taleb book PDF ePUB of Statistical Consequences Of Fat Tails - Real World Preasymptotics, Epistemology, And Applications published by in 2020-06-30. Statistical Consequences of Fat Tails released with category with total 240 pages.
Statistical Consequences Of Fat Tails - Real World Preasymptotics, Epistemology, And Applications by Nassim Nicholas Taleb free online open library
The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on "naïve empiricism," but can be sometimes be estimated via parametric methods. - The "empirical distribution" is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many "biases" found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.
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“We are all in the gutter, but some of us are looking at the stars.” ― Oscar Wilde
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