Uncertainty in time variable

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Is it possible to set up an MCMC calibration using measured data at an
uncertain time? With a known time of sampling, the Simulaiton{}
block consists of:

Print (dep_var, t1)
Data(dep_var, D1)

However, I need t1 to be a distribution because it is unknown precisely
when the sample was taken. For example, t1 could be a normal distribution
with a mean of 4 hours and a standard deviation of 0.5 hours. Is there a
way to sample from a time distribution and feed this into the simulation
block?

Thanks.

Todd Zurlinden

Department of Chemical and Biological Engineering
Colorado State University

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<div dir=3D"ltr">Is it possible to set up an MCMC calibration using measure=
d data at an uncertain time? With a known time of sampling, the Simulaiton{=
} block=C2=A0consists of:<div><br></div><div>Print (dep_var, t1)</div><div>=
Data(dep_var, D1)</div><div><br></div><div>However, I need t1 to be a distr=
ibution because it is unknown precisely when the sample was taken. For exam=
ple, t1 could be a normal distribution with a mean of 4 hours and a standar=
d deviation of 0.5 hours. Is there a way to sample from a time distribution=
 and feed this into the simulation block?</div><div><br></div><div>Thanks.<=
/div><div><br></div><div>Todd Zurlinden</div><div><br></div><div>Department=
 of Chemical and Biological Engineering</div><div>Colorado State University=
</div><div><br></div></div>

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