Closed changhoonhahn closed 7 years ago
As @davidwhogg and @mjvakili mentioned, examining galaxy clustering at large (BAO) scales would be one possible way. I'm confused by the wording of this comment ... but that would be a realistic scenario. This comparison would require a different approach than the scope of our paper.
@changhoonhahn and I came up withe the following example of extreme data situation:
Consider a dataset which consists of objects with different data qualities and signal-to-noise ratios! Using a standard likelihood function after applying a SNR cut to the data will lead to biases if the selection effects are ignored. This problem can be alleviated by employing ABC with a generative forward model of the data which takes into account cuts in luminosity, SNR, etc.
@changhoonhahn Let's not mention large (BAO) scales in the text since they are irrelevant to the scope of our paper! But we should mention it in the response to the referee report.
@mjvakili : The paragraph you added in Section 3.4 that talks about scenarios where the standard approach and ABC might deviate, is that meant to address this referee comment? Or Ref Report comment 2 (issue #15)? Or both?
@changhoonhahn : Those two paragraphs are meant to address this comment. But I think Referee Report 2 #16 also includes this!
@changhoonhahn : This is really the subset of Referee Report #3 #17 . Since both have to do with the real data!
@mjvakili : Can you check out the two paragraphs near the end of Section 3.4. I've heavily edited what you added. I think it goes better with the rest of the Section.
@changhoonhahn : Can we reword this sentence? https://github.com/mjvakili/ccppabc/blob/master/ccppabc/text/revision/main.tex#L1014 This is not just about the functional form of the likelihood. Selection effects, SNR cuts, and systematics may change the likelihood but not necessarily the functional form of the likelihood.
@mjvakili : Done.