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stollenm
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Say a continuous random variable $X \sim \mathbb{R}$$X \in \mathbb{R}$ has a probability density function (p.d.f.).

Is it correct that,

change the probability measure $\Rightarrow$ define a new p.d.f. for X

?

In other words, is „changing the probability measure“ just a fancy way of saying „now assume that $X$ is distributed according to another p.d.f.?

Say a continuous random variable $X \sim \mathbb{R}$ has a probability density function (p.d.f.).

Is it correct that,

change the probability measure $\Rightarrow$ define a new p.d.f. for X

?

In other words, is „changing the probability measure“ just a fancy way of saying „now assume that $X$ is distributed according to another p.d.f.?

Say a continuous random variable $X \in \mathbb{R}$ has a probability density function (p.d.f.).

Is it correct that,

change the probability measure $\Rightarrow$ define a new p.d.f. for X

?

In other words, is „changing the probability measure“ just a fancy way of saying „now assume that $X$ is distributed according to another p.d.f.?

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Source Link
stollenm
  • 842
  • 5
  • 21

Probability Measure for Continuous Random Variable

Say a continuous random variable $X \sim \mathbb{R}$ has a probability density function (p.d.f.).

Is it correct that,

change the probability measure $\Rightarrow$ define a new p.d.f. for X

?

In other words, is „changing the probability measure“ just a fancy way of saying „now assume that $X$ is distributed according to another p.d.f.?