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8. Brownian motion
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8.3
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8.6
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9.The strong Markov property of Brownian motion
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9.2
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10.Martingales
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11.The Donsker invariance principe
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12.An outlook to stochastic integration
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13.Exercises
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1.P.Billingsley: Probability and Measure, Wiley and sons, New-York, 1979
2.L.Breiman: Probability, Addison-Wesley, Reading, 1968
3.W. B. Davenport, Jr. and W. L. Root,An Introduction to the Theory of Random Signals and Noise.
New York, NY, USA: McGraw-Hill Inc., 1958.4.W. B. Davenport, Jr., Probability and Random Processes: An Introduction for Applied
Scientists and Engineers. New York, NY, USA: McGraw-Hill Inc., 1970.
5.J. L. Doob, Stochastic Processes. New York, NY, USA: John Wiley & Sons Inc.,1958.
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10.W. A. Gardner, Introduction to Random Processes with Applications to Signals andSystems. London, UK: Collier Macmillan Publishers, 1986.
11.Peter Galko, ELG 5119/92.519 Stochastic Processes Course Notes, Faculty of
Engineering, University of Ottawa, Ottawa, ON, Canada, Fall 1987.
12.W. A. Gardner, Introduction to Random Processes with Applications to Signals and
Systems. New York, NY, USA: McGraw-Hill Publishing Company, 2nd ed., 1990.
13. B. V. Gnedenko, Theory of Probability. New York, NY, USA: Chelsea Publishing
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14.R. M. Gray and L. D. Davisson,Random Processes: A Mathematical Approach for
Engineers. Englewood Cliffs, NJ, USA: Prentice-Hall, Inc., 1986.
15.H. P. Hsu,Schaum's outline of theory and problems of probability, random variables,
and random processes. New York, NY, USA: McGraw-Hill Inc., 1997.
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18.Alberto Leon-Garcia, Student Solutions Manual: Probability and Random Processes
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20.M. Love, Probability Theory, vol. I. New York, NY, USA: Springer, 4th ed., 1977.
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24 M O'Flynn Probabilities Random Variables and Stochastic Processes New York NY USA: