Statements (16)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:inequality
|
| gptkbp:appliesTo |
probability distributions
|
| gptkbp:field |
gptkb:information_theory
gptkb:probability_theory |
| https://www.w3.org/2000/01/rdf-schema#label |
Pinsker's inequality
|
| gptkbp:namedAfter |
Mark Semenovich Pinsker
|
| gptkbp:publicationYear |
1960s
|
| gptkbp:publishedIn |
gptkb:Doklady_Akademii_Nauk_SSSR
|
| gptkbp:relatedTo |
gptkb:Kullback–Leibler_divergence
total variation distance |
| gptkbp:state |
The total variation distance between two probability distributions is bounded above by the square root of half the Kullback–Leibler divergence between them.
|
| gptkbp:usedIn |
gptkb:machine_learning
statistical inference information theory proofs |
| gptkbp:bfsParent |
gptkb:Moises_S._Pinsker
|
| gptkbp:bfsLayer |
8
|