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Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize $$p(x|\theta)$$, which is a functionan expression in $$\theta$$ (they are actually the same)? What is technically wrong with doing that?

Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize $$p(x|\theta)$$, which is a function in $$\theta$$ (they are actually the same)? What is technically wrong with doing that?

Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize $$p(x|\theta)$$, which is an expression in $$\theta$$ ? What is technically wrong with doing that?

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# In maximum likelihood estimation, can you maximize p$p(x|thetax|\theta)$ rather than L$L(theta\theta)$?

Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize p(x|theta)$$p(x|\theta)$$, which is a function in theta$$\theta$$ (they are actually the same)? What is technically wrong with doing that?

# In maximum likelihood estimation, can you maximize p(x|theta) rather than L(theta)?

Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize p(x|theta), which is a function in theta (they are actually the same)? What is technically wrong with doing that?

# In maximum likelihood estimation, can you maximize $p(x|\theta)$ rather than $L(\theta)$?

Why do you have to define a likelihood function then say you are maximising the likelihood function? Why can't you just maximize $$p(x|\theta)$$, which is a function in $$\theta$$ (they are actually the same)? What is technically wrong with doing that?

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