It seems to me you that have a sequence (``series'') of random times,
rather than
a sequence of values of a random variable observed at a irregularly
spaced times.
Hence I would say that point process modelling, rather than time
series modelling,
would be more appropriate.
You could consi
Greetings -- I've got some sensor data of the form
t1_1, t1_2
t2_1, t2_2
...
tN_1,tN_2
-- time intervals measuring starts and stops of sensor activity. I'd
like to see whether there's any regularity in it. Seems natural to
consider these data timeseries -- except most of the timeseries
p
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