A User's Guide to Measure Theoretic Probability 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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David Pollard 作者

Cambridge University Press

译者

2001-12-17 出版日期

366 页数

USD 122.00 价格

Hardcover

丛书系列

9780521802420 图书编码

A User's Guide to Measure Theoretic Probability 在线电子书图书标签: 测度论概率 2019 2014

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A User's Guide to Measure Theoretic Probability 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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A User's Guide to Measure Theoretic Probability 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

A User's Guide to Measure Theoretic Probability 在线电子书图书描述

Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they might have learned in the typical undergraduate, calculus-based probability course. This 2002 book grew from a one-semester course offered for many years to a mixed audience of graduate and undergraduate students who have not had the luxury of taking a course in measure theory. The core of the book covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms. In addition there are numerous sections treating topics traditionally thought of as more advanced, such as coupling and the KMT strong approximation, option pricing via the equivalent martingale measure, and the isoperimetric inequality for Gaussian processes. The book is not just a presentation of mathematical theory, but is also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean.

A User's Guide to Measure Theoretic Probability 在线电子书下载 mobi epub pdf txt 在线电子书下载

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