##  [Maximum Likelihood Principle](/maximum-likelihood-principle) 

  ##  [Maximum Likelihood Principle](https://information.quantumdictionary.io/maximum-likelihood-principle-0) 

  

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**Information & Communication Dictionary**

 







 

 

 

 



 

 

 

 

Definition

A statistical decision principle that selects parameter values (or hypotheses) that maximize the likelihood function—the probability (or probability density) of the observed data given the parameterized model—i.e., θ̂ = argmax_θ L(θ; data). It requires an explicit probabilistic model for the data and treats likelihood as the objective function for point estimation.