Normal distribution (precision parameterization)
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:organization
|
| gptkbp:accuracy |
inverse of variance
|
| gptkbp:alternativeName |
gptkb:Gaussian_distribution_(precision_parameterization)
|
| gptkbp:conjugatePriorFor |
precision of normal distribution
|
| gptkbp:entropy |
0.5 * log(2πe/τ)
|
| gptkbp:family |
gptkb:exponential_family
|
| https://www.w3.org/2000/01/rdf-schema#label |
Normal distribution (precision parameterization)
|
| gptkbp:kurtosis |
0
|
| gptkbp:meaning |
μ
|
| gptkbp:mode |
μ
|
| gptkbp:parameter |
mean
precision |
| gptkbp:probability_density_function |
f(x) = sqrt(τ/2π) * exp(-0.5 * τ * (x - μ)^2)
|
| gptkbp:relatedTo |
gptkb:Normal_distribution_(standard_parameterization)
|
| gptkbp:skewness |
0
|
| gptkbp:supports |
x in (-∞, ∞)
|
| gptkbp:usedIn |
gptkb:machine_learning
Bayesian statistics statistical inference |
| gptkbp:variant |
1/τ
|
| gptkbp:bfsParent |
gptkb:Gaussian_distribution_(precision_parameterization)
|
| gptkbp:bfsLayer |
8
|