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Random Walk: A Modern Introduction
Abstract
Random walks are stochastic processes formed by successive summation of independent, identically distributed random variables and are one of the most studied topics in probability theory. This contemporary introduction evolved from courses taught at Cornell University and the University of Chicago by the first author, who is one of the most highly regarded researchers in the field of stochastic processes. This text meets the need for a modern reference to the detailed properties of an important class of random walks on the integer lattice. It is suitable for probabilists, mathematicians working in related fields, and for researchers in other disciplines who use random walks in modeling.
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Cited by
Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction
Friedli, S., & Velenik, Y. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316882603 · Cited by 375
Lazy Random Walks for Superpixel Segmentation
Shen, J., Du, Y., Wang, W., & Li, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2302892 · Cited by 339
ImpactTracer: Root Cause Localization in Microservices Based on Fault Propagation Modeling
Xie, R., Yang, J., Li, J., & Wang, L. (2023) · 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) · doi:10.23919/date56975.2023.10137078 · Cited by 13
Metadata
- Authors
- Lawler, G. F., & Limic, V.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2010-06-24
- OpenAlex
- W589246141
- Cited by
- 796
- References
- 0
- FWCI
- 7.34
- Type
- book
- Language
- en
- Open access
- closed
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