Probability Theory

  • Mircea Grigoriu


Essential concepts of probability theory needed in this text are reviewed and are illustrated by examples. The review includes the concepts of events, sample space, σ-field, measure, probability measure, probability space, conditional probability, independence, random variable and vector, integral of random variables, expectation, distribution, density, and characteristic functions, second moment properties, convergence of sequences of random variables, conditional expectation, and martingales. The readers familiar with these concepts can skip this chapter entirely. However, some of those readers may benefit from using this chapter as a summary of facts and examples needed in the rest of the book.


Random Walk Characteristic Function Probability Space Conditional Expectation Sample Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Mircea Grigoriu
    • 1
  1. 1.Cornell University School of Civil and Environmental EngineeringIthacaUSA

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