Chernoff bound
E837386
The Chernoff bound is a probabilistic inequality that gives exponentially decreasing upper bounds on the tail probabilities of sums of independent random variables.
Observed surface forms (1)
| Surface form | Occurrences |
|---|---|
| Hoeffding inequality | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
concentration inequality
ⓘ
probabilistic inequality ⓘ tail bound ⓘ |
| appliesTo |
Bernoulli random variables
ⓘ
Poisson trials ⓘ binomial distribution ⓘ sum of independent random variables ⓘ |
| assumes |
bounded random variables in common forms
ⓘ
independence of random variables ⓘ |
| characterizes |
lower tail probability
ⓘ
upper tail probability ⓘ |
| comparedTo |
Chebyshev inequality
NERFINISHED
ⓘ
Hoeffding inequality NERFINISHED ⓘ Markov inequality NERFINISHED ⓘ |
| field |
information theory
ⓘ
probability theory ⓘ statistics ⓘ theoretical computer science ⓘ |
| generalizes | Hoeffding inequality in some formulations ⓘ |
| gives | exponential upper bound on tail probability ⓘ |
| hasForm |
additive Chernoff bound
ⓘ
multiplicative Chernoff bound NERFINISHED ⓘ two-sided Chernoff bound NERFINISHED ⓘ |
| namedAfter | Herman Chernoff NERFINISHED ⓘ |
| property | bounds decay exponentially in the number of trials ⓘ |
| provides | non-asymptotic tail estimates ⓘ |
| relatedTo |
Chernoff information
NERFINISHED
ⓘ
Cramér–Chernoff method NERFINISHED ⓘ Kullback–Leibler divergence NERFINISHED ⓘ exponential Markov inequality ⓘ large deviations theory ⓘ moment generating function ⓘ |
| strongerThan |
Chebyshev inequality in many settings
NERFINISHED
ⓘ
Markov inequality in many settings ⓘ |
| typicalStatement |
P(X ≤ (1-δ)μ) ≤ exp(-μ g(δ)) for δ ∈ (0,1)
ⓘ
P(X ≥ (1+δ)μ) ≤ exp(-μ f(δ)) for δ > 0 ⓘ |
| usedFor |
bounding deviation from expectation
ⓘ
concentration of measure ⓘ derandomization ⓘ error analysis in communication systems ⓘ randomized algorithms analysis ⓘ sample complexity bounds in learning theory ⓘ |
| usedIn |
analysis of randomized algorithms for load balancing
ⓘ
coding theory ⓘ hashing and balls-into-bins analysis ⓘ hypothesis testing ⓘ network reliability analysis ⓘ queueing theory ⓘ |
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Hoeffding inequality