최대가능도,maximum_likelihood

Difference between r1.21 and the current

@@ -1,11 +1,12 @@
AKA '''최대우도'''

파생 개념:
최대가능도추정, 최대우도추정 maximum likelihood estimation MLE
최대가능도추정, 최대우도추정 maximum likelihood estimation MLE - [[추정,estimation]]
[[최대가능도추정,maximum_likelihood_estimation,MLE]]
Compare: 최소제곱오차 MSE (??) [[평균제곱오차,mean_square_error,MSE]] 아님?
// 최소제곱에 대해선 see [[최소제곱,least_square]]
최대가능도방법, 최대우도법 maximum likelihood method
https://encyclopediaofmath.org/wiki/Maximum-likelihood_method
관련:
[[가능도,likelihood]]

@@ -36,5 +37,4 @@

----
Up: [[최대,maximum]] [[가능도,likelihood]]


AKA 최대우도

파생 개념:
최대가능도추정, 최대우도추정 maximum likelihood estimation MLE - 추정,estimation
최대가능도추정,maximum_likelihood_estimation,MLE
Compare: 최소제곱오차 MSE (??) 평균제곱오차,mean_square_error,MSE 아님?
// 최소제곱에 대해선 see 최소제곱,least_square
최대가능도방법, 최대우도법 maximum likelihood method
https://encyclopediaofmath.org/wiki/Maximum-likelihood_method
관련:
가능도,likelihood

[edit]

tmp bmks ko

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tmp towatch

StatQuest: Probability vs Likelihood
https://www.youtube.com/watch?v=pYxNSUDSFH4
Maximum Likelihood For the Normal Distribution, step-by-step!
https://www.youtube.com/watch?v=Dn6b9fCIUpM
StatQuest: Maximum Likelihood
https://www.youtube.com/watch?v=XepXtl9YKwc



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from 석준희 ML강의

maximum likelihood (ML)
likelihood: probability of observation under a certain model
$l=\prod_{i:y_i=0}\frac1{1+e^{\beta_0+\beta_1x_i}}\prod_{i:y_i=1}\frac{e^{\beta_0+\beta_1x_i}}{1+e^{\beta_0+\beta_1x_i}}$

[edit]

Twins