Wald's martingale
In probability theory, Wald's martingale is the name sometimes given to a martingale used to study sums of i.i.d. random variables. It is named after the mathematician Abraham Wald, who used these ideas in a series of influential publications.[1][2][3]
Wald's martingale can be seen as discrete-time equivalent of the Doléans-Dade exponential.
Formal statement
Let be a sequence of i.i.d. random variables whose moment generating function is finite for some , and let , with . Then, the process defined by
is a martingale known as Wald's martingale.[4] In particular, for all .
Notes
- Wald, Abraham (1944). "On cumulative sums of random variables". Ann. Math. Stat. (15): 283–296. doi:10.1214/aoms/1177731235.
- Wald, Abraham (1945). "Sequential tests of statistical hypotheses". Ann. Math. Stat. (16): 117–186. doi:10.1214/aoms/1177731118.
- Wald, Abraham (1945). Sequential analysis (1st ed.). John Wiley and Sons.
- Gamarnik, David (2013). "Advanced Stochastic Processes, Lecture 10". MIT OpenCourseWare. Retrieved 24 June 2023.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.