A User's Guide to Measure Theoretic Probability pdf epub mobi txt 電子書下載 2024

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David Pollard

Cambridge University Press

2001-12-10

366

USD 49.00

Paperback

Cambridge Series in Statistical and Probabilistic Mathematics

9780521002899

圖書標籤: 數學 Probability 概率論 Measure, 計算機數學和計算機應用數學-概率論 work

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发表于2024-12-28

A User's Guide to Measure Theoretic Probability epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

A User's Guide to Measure Theoretic Probability pdf epub mobi txt 電子書下載 2024

圖書描述

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 下載 mobi epub pdf txt 電子書