Abstract
We consider a class of random walks whose increment distributions depend on the average value of the process over its most recent N steps. We investigate the speed of the process, and in particular, the limiting speed as the “history window” N→∞.
Original language | English |
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Pages (from-to) | 4793-4807 |
Number of pages | 15 |
Journal | Stochastic Processes and their Applications |
Volume | 130 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2020 |
Keywords
- Cramer's theorem
- Cramér's theorem
- Legendre-Fenchel transform
- Legendre–Fenchel transform
- Random walk with reinforcement
All Science Journal Classification (ASJC) codes
- Applied Mathematics
- Statistics and Probability
- Modelling and Simulation