moment inequality
C15243
concept
A moment inequality is a constraint that specifies that an expected value (moment) of a random variable or function of data must lie above or below a certain bound, rather than being exactly equal to it.
All labels observed (2)
| Label | Occurrences |
|---|---|
| probabilistic inequality | 2 |
| moment inequality canonical | 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: moment inequality
Generated description
A moment inequality is a constraint that specifies that an expected value (moment) of a random variable or function of data must lie above or below a certain bound, rather than being exactly equal to it.
Instances (3)
| Instance | Via concept surface |
|---|---|
| Chebyshev inequalities | probabilistic inequality |
| Chernoff bound | probabilistic inequality |
| Khinchin–Kahane type inequalities | — |