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Probability Theory: Independence Interchangeability Martingales

✍ Scribed by Yuan Shih Chow, Henry Teicher (auth.)


Publisher
Springer US
Year
1978
Tongue
English
Leaves
469
Category
Library

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✦ Table of Contents


Front Matter....Pages i-xv
Classes of Sets, Measures, and Probability Spaces....Pages 1-29
Binomial Random Variables....Pages 30-53
Independence....Pages 54-82
Integration in a Probability Space....Pages 83-109
Sums of Independent Random Variables....Pages 110-155
Measure Extensions, Lebesgue-Stieltjes Measure, Kolmogorov Consistency Theorem....Pages 156-197
Conditional Expectation, Conditional Independence, Introduction to Martingales....Pages 198-246
Distribution Functions and Characteristic Functions....Pages 247-289
Central Limit Theorems....Pages 290-323
Limit Theorems for Independent Random Variables....Pages 324-373
Martingales....Pages 374-411
Infinitely Divisible Laws....Pages 412-445
Back Matter....Pages 446-458

✦ Subjects


Probability Theory and Stochastic Processes


πŸ“œ SIMILAR VOLUMES


Probability Theory: Independence, Interc
✍ Yuan Shih Chow, Henry Teicher (auth.) πŸ“‚ Library πŸ“… 1988 πŸ› Springer-Verlag New York 🌐 English

<p>Apart from new examples and exercises, some simplifications of proofs, minor improvements, and correction of typographical errors, the principal change from the first edition is the addition of section 9.5, dealing with the central limit theorem for martingales and more general stochastic arrays.

Probability Theory: Independence, Interc
✍ Yuan Shih Chow, Henry Teicher (auth.) πŸ“‚ Library πŸ“… 1997 πŸ› Springer-Verlag New York 🌐 English

<p>Now available in paperback. This is a text comprising the major theorems of probability theory and the measure theoretical foundations of the subject. The main topics treated are independence, interchangeability,and martingales; particular emphasis is placed upon stopping times, both as tools in

Probability Theory: Independence, Interc
✍ Yuan Shih Chow, Henry Teicher πŸ“‚ Library πŸ“… 2003 πŸ› Springer 🌐 English

Comprising the major theorems of probability theory and the measure theoretical foundations of the subject, the main topics treated here are independence, interchangeability, and martingales. Particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of inter