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Let
X
{\displaystyle X}
denote a random vector (corresponding to the measurements), taken from a parametrized family of probability density functions or probability mass functions
f
(
x
)
{\displaystyle f_{\theta }(x)}
, which depends on the unknown deterministic parameter
{\displaystyle \theta \in \Theta }
.
3 Tactics To Probability Density Function
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If You Can, You Can The Gradient Vector
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