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1. Probability : theory and examples [2019]
 Durrett, Richard, 1951 author.
 Fifth edition  Cambridge ; New York, NY : Cambridge University Press, 2019
 Description
 Book — 1 online resource
 Summary

 1. Measure theory
 2. Laws of large numbers
 3. Central limit theorems
 4. Martingales
 5. Markov chains
 6. Ergodic theorems
 7. Brownian motion
 8. Applications to random walk
 9. Multidimensional Brownian motion Appendix. Measure theory details.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
MATH230B01, STATS310B01
 Course
 MATH230B01  Theory of Probability
 Instructor(s)
 Dembo, Amir
 Course
 STATS310B01  Theory of Probability II
 Instructor(s)
 Dembo, Amir
Online 2. Probability : theory and examples [2010]
 Durrett, Richard, 1951
 4th ed.  Cambridge ; New York : Cambridge University Press, 2010.
 Description
 Book — x, 428 p. : ill. ; 27 cm.
 Summary

 1. Measure theory
 2. Laws of large numbers
 3. Central limit theorems
 4. Random walks
 5. Martingales
 6. Markov chains
 7. Ergodic theorems
 8. Brownian motion Appendix A. Measure theory details.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Also online at
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

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QA273 .D865 2010  Unknown 
MATH230B01, STATS310B01
 Course
 MATH230B01  Theory of Probability
 Instructor(s)
 Dembo, Amir
 Course
 STATS310B01  Theory of Probability II
 Instructor(s)
 Dembo, Amir