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Kai Lai Chung (1917–2009)

Author of A Course in Probability Theory

17 Works 247 Members 2 Reviews

About the Author

Includes the names: Kai L. Chung, К.Л. Чжун

Image credit: Kai Lai Chung. Photo by Konrad Jacobs.

Works by Kai Lai Chung

Tagged

Common Knowledge

Other names
Chung, K. L.
Birthdate
1917-09-19
Date of death
2009-06-01
Gender
male
Education
Tsinghua University
Princeton University (PhD|1945)
Occupations
mathematician
professor
Organizations
Tsinghua University
University of Chicago
Columbia University
University of California, Berkeley
Cornell University
Syracuse University (show all 8)
Stanford University
National University of Singapore
Relationships
Tukey, John Wilder (PhD advisor)
Cramér, Harald (PhD advisor)
Derman, Cyrus (doctoral student)
Steele, J. Michael (doctoral student)
Williams, Ruth Jeannette (doctoral student)
Short biography
Kai Lai Chung (traditional Chinese: 鍾開萊; simplified Chinese: 钟开莱; September 19, 1917 – June 2, 2009) was a Chinese American mathematician known for his significant contributions to modern probability theory. [from Wikipedia: https://en.wikipedia.org/wiki/Chung_Ka...]
Nationality
China (Republic of)
USA
Birthplace
Hangzhou, Zhejiang Province, China
Place of death
Philippines
Associated Place (for map)
Hangzhou, Zhejiang Province, China

Members

Reviews

3 reviews
I usually find books on probability boring and irritating, but I was very happy with this one.
It does a fine job of covering measure theory in a useful fashion, and is an acceptable first pass at covering stochastic processes.
Indeholder "Preface to the Third Edition", "Preface to the Second Edition", "Preface to the First Edition", "Chapter 1: Set", "1.1 Sample sets", "1.2 Operations with sets", "1.3 Various relations", "1.4 Indicator", "Exercises", "Chapter 2: Probability", "2.1 Example of probability", "2.2 Definition and illustrations", "2.3 Deductions from the axioms", "2.4 Independent events", "2.5 Arithmetical density", "Exercises", "Chapter 3: Counting", "3.1 Fundamental rule", "3.2 Diverse ways of show more sampling", "3.3 Allocation models; binomial coefficients", "3.4 How to solve it", "Exercises", "Chapter 4: Random Variables", "4.1 What is a random variable?", "4.2 How do random variables come about?", "4.3 Distribution and expectation", "4.4 Integer-valued random variables", "4.5 Random variables with densities", "4.6 General case", "Exercises", "Appendix 1: Borel Fields and General Random Variables", "Chapter 5: Conditioning and Independence", "5.1 Examples of conditioning", "5.2 Basic formulas", "5.3 Sequential Sampling", "5.4 Pólya's urn scheme", "5.5 Independence and relevance", "5.6 Genetic models", "Exercises", "Chapter 6: Mean, Variance and Transforms", "6.1 Basic properties of expectation", "6.2 The density case", "6.3 Multiplication theorem; variance and covariance", "6.4 Multinomial distribution", "6.5 Generating function and the like", "Exercises", "Chapter 7: Poisson and Normal Distributions", "7.1 Models for Poisson Distribution", "7.2 Poisson proces", "7.3 From binomial to normal", "7.4 Normal distribution", "7.5 Central limit theorem", "7.6 Law of large numbers", "Exercises", "Appendix 2: Stirling's Formula and DeMoivre-Laplace's Theorem", "Chapter 8: From Random Walks to Markov Chains", "8.1 Problems of the wanderer or gambler", "8.2 Limiting schemes", "8.3 Transition probabilities", "8.4 Basic structure of Markov chains", "8.5 Further developments", "8.6 Steady state", "8.7 Winding up (or down?)", "Exercises", "Appendix 3: Martingale", "General References", "Answers to Problems", "Index".

Udmærket introduktion, men måske lidt rigeligt snakkende.
Lærebog i sandsynlighedsregning på statistik 1 i Århus, 1979/1980.
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Statistics

Works
17
Members
247
Popularity
#92,309
Rating
3.8
Reviews
2
ISBNs
68
Languages
3

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