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
|
| 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
|
| https://www.w3.org/2000/01/rdf-schema#label |
normal distribution (precision parameter)
|