normal distribution (precision parameter)
GPTKB entity
Statements (22)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:organization
|
gptkbp:accuracy |
inverse of variance
|
gptkbp:alternativeName |
gptkb:Gaussian_distribution_(precision_parameterization)
|
gptkbp:conjugatePriorFor |
normal likelihood with known mean
|
gptkbp:entropy |
(1/2) * log(2πe/τ)
|
gptkbp:family |
gptkb:exponential_family
|
https://www.w3.org/2000/01/rdf-schema#label |
normal distribution (precision parameter)
|
gptkbp:kurtosis |
3
|
gptkbp:meaning |
μ
|
gptkbp:mode |
μ
|
gptkbp:momentGeneratingFunction |
exp(μt + t^2/(2τ))
|
gptkbp:parameter |
mean
precision |
gptkbp:probabilityDensityFunction |
f(x) = sqrt(τ/2π) * exp(-τ/2 * (x-μ)^2)
|
gptkbp:relatedTo |
normal distribution (variance parameterization)
|
gptkbp:skewness |
0
|
gptkbp:supports |
x ∈ ℝ
|
gptkbp:usedIn |
gptkb:conjugate_priors
Bayesian statistics |
gptkbp:variant |
1/τ
|
gptkbp:bfsParent |
gptkb:gamma_distribution
|
gptkbp:bfsLayer |
6
|