object in optimal stopping theory
C30703
concept
An object in optimal stopping theory is an abstract entity (such as a stochastic process, payoff function, or stopping rule) whose evolution or evaluation over time determines when it is best to stop observing and take an action to maximize expected reward or minimize expected cost.
All labels observed (2)
| Label | Occurrences |
|---|---|
| object in optimal stopping theory canonical | 1 |
| object of probability theory | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: object in optimal stopping theory
Generated description
An object in optimal stopping theory is an abstract entity (such as a stochastic process, payoff function, or stopping rule) whose evolution or evaluation over time determines when it is best to stop observing and take an action to maximize expected reward or minimize expected cost.
Instances (2)
| Instance | Via concept surface |
|---|---|
| Lévy processes | object of probability theory |
| Snell envelope | — |