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Dec 5, 2014 at 15:25 comment added SBF Density is just one representation of a probability measure (through another measure) and it is useful as a tool, when it comes up naturally, not as a goal: by itself it does not tell anything new about probabilities. Now, in the space you've described a natural measure would be the Wiener measure as @Jochen mentioned, but if I'm not mistaken your $P_X$ is singular w.r.t. the Wiener measure. The question is what were you going to do after you'd get a density - if you specify that, I guess the conclusion would be that you don't really need density.
Dec 1, 2014 at 18:46 comment added Janak I understand the space of such parametric curves is no longer a linear space. But I think it could be a valid question to ask whether the density of the random curve are exists or not.
Dec 1, 2014 at 18:32 comment added Janak The context of my question is: I have a set of parametric curves $\beta(t)=(x(t),y(t))', t\in [0,1]$ (for example $x(t)=sin t$ and $y(t)=cos t$). I consider these curves are random sample from population of parametric curves and I try to understand whether I can define probability density function of this random curves.
Dec 1, 2014 at 16:04 comment added Jochen Wengenroth To stimulate this thread you should try to say more precisely what you are looking for. As stated, your question does not make much sense (you could take $\mu=P_X$ and density $1$). For $E=C([0,\infty))$ the Wiener measure (distribution of Brownian motion) is certainly an interesting measure on $E$, but without more context it is not clear whether this is an interesting case for you.
Nov 28, 2014 at 10:37 comment added Janak @TheBridge: Yes, $P_X$ is push forward measure.
Nov 28, 2014 at 10:33 comment added The Bridge @ janak : I think that what you want to say is that $P_X$ is the push forward measure of $P$ by $X$. Best regards
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Nov 28, 2014 at 6:39 history asked Janak CC BY-SA 3.0