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Bookmark or Share- Essentials of Stochastic Processes - Duke UniversityChapter 1 Markov Chains 1.1 De nitions and Examples sec:MCdef The importance of Markov chains comes from two facts: (i) there are a large number of physical, biological, economic, and social phenomena that can be
- Probability: Theory and Examples Rick Durrett Version 5 January 11, 2019contributions I lost track of, this time I need to thank: Richard Arra-tia, Benson Au, Swee Hong Chan, Conrado Costa, Nate Eldredge, Steve Evans, Jason Farnon, Christina Goldschmidt, Eduardo Horta, Martin Hildebrand, Shlomo Leventhal, Jan Lieke, Kyle MacDonald, Ron Peled, Jonathan Peterson, Erfan Salavati, Byron Schmuland, Timo Seppalainen,
- Elementary Probability for Applications Rick Durrett, Duke U Version 2. ...Chapter 1 Combinatorial probability 1.1 Basic de nitions The subject of probability can be traced back to the 17th century when it arose out of the
- EOSP - Duke UniversityRick Durrett. Version 3.9, May 2021 . 1 Markov Chains . 1.1 Definitions and Examples 1.2 Multistep Transition Probabilities 1.3 Classification of States 1.4 Stationary Distributions 1.5 Detailed Balance Condition 1.6 Limit Behavior 1.7 Returns to a fixed state 1.8 Proofs of the convergence theorem* 1.9 Exit Distributions 1.10 Exit Times
- Rick Durrett's Home Page - Duke UniversityRick's Ramblings My new research in math applied to ecology. I am a James B. Duke Emeritus Professor of Mathematics. My favorite research topics are (i) processes that take place on random graphs and (ii) stochastic spatial models that arise from questions in ecology, population genetics, epidemiology, and cancer. My blog.
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