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Probability Essentials
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Probability Essentials

Probability Essentials

Jean Jacod, Philip Protter

266 pages, parution le 12/11/2002 (2eme édition)

Résumé

This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference. The second edition contains some additions to the text and to the references and some parts are completely rewritten.

Contents

  1. Introduction
  2. Axioms of Probability
  3. Conditional Probability and Independence
  4. Probabilities on a Finite or Countable Space
  5. Random Variables on a Countable Space
  6. Construction of a Probability Measure
  7. Construction of a Probability Measure on R
  8. Random Variables
  9. Integration with Respect to a Probability Measure
  10. Independent Random Variables
  11. Probability Distributions on R
  12. Probability Distributions on Rn
  13. Characteristic Functions
  14. Properties of Characteristic Functions
  15. Sums of Independent Random Variables
  16. Gaussian Random Variables (The Normal and the Multivariate Normal Distributions) Convergence of Random Variables
  17. Weak Convergence
  18. Weak Convergence and Characteristic Functions
  19. The Laws of Large Numbers
  20. The Central Limit Theorem
  21. L2 and Hilbert Spaces
  22. Conditional Expectation
  23. Martingales
  24. Supermartingales and Submartingales
  25. Martingale Inequalities
  26. Martingale Convergence Theorems
  27. The Radon-Nikodym Theorem

L'auteur - Jean Jacod

Universite de Paris VI, Paris, France;

L'auteur - Philip Protter

Cornell University, Ithaca, NY, USA

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Jean Jacod, Philip Protter
Parution 12/11/2002
Édition  2eme édition
Nb. de pages 266
Format 15,5 x 23,5
Couverture Broché
Poids 420g
Intérieur Noir et Blanc
EAN13 9783540438717

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