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Aug 28, 2020 at 11:22 comment added fsp-b Thank you, @IosifPinelis.
Aug 28, 2020 at 2:23 comment added Iosif Pinelis I think diffusions like this should cause no problems. However, as the example at mathoverflow.net/questions/370159/… shows, distributions can be however close to one another without any closeness of the corresponding densities. So, without any experience in such modeling, I'd guess it's better to avoid using broad classes of densities in modeling, and instead use integral characteristics such as cdf's and/or moments.
Aug 27, 2020 at 21:13 comment added fsp-b @IosifPinelis Sorry to bother you with this extremely ill-defined question, but would you "feel" from your experience that imposing a given process $X$ to satisfy all of the above is a very restrictive model assumption if $X$ were to model a "generic data stream" (say ECG data or stock prices)? (The continuity of the density would be satisfied at least for some "reasonably-sized" class of time-homogeneous diffusions with continuously distributed initial value.)
Aug 26, 2020 at 15:07 comment added Iosif Pinelis The answer at mathoverflow.net/questions/370159/… and discussion there show that your desired condition may not hold even when $X_t$ is however smooth in $t$, pathwise and on an average. So, I think no essentially non-tautological condition will suffice here.
Aug 26, 2020 at 15:03 history edited fsp-b CC BY-SA 4.0
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Aug 26, 2020 at 14:56 history edited fsp-b CC BY-SA 4.0
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Aug 26, 2020 at 14:48 history asked fsp-b CC BY-SA 4.0