Combining multiple time-based datasources with different periods I have two time-based data sources (one providing data by month and the other by week) that must be combined to create a third daily source (recognizing that at best we're getting one possible projection of those two data sources).  To make things really interesting, they do not cover entirely the same timeframe (the monthly stops at the most recent month end at least 45 days ago, while the weekly data covers only the last six weeks).  The main issue (for me) is addressing the days where the two datasources overlap.

Not looking for someone to give me a fish, but for some papers on how to fish (actually, I hate fishing).
(not enough rep for comment)
Can you tell us more about the data streams? I am a roboticist, and I often deal with sensors which are outputting data streams at different rates. Specifically, can you please elaborate on the following:


do the data streams have the same modality? (eg, are they all telling you the velocity of something, or is one telling you velocity and the other position, leaving you to infer velocity?)
is either stream noisy and/or can you otherwise get conflicting data from the streams? If so, do you have an error model?


Once I know more about your streams, I will try to suggest some relevant literature.