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Adding large GPMSA verification example #615
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// Read in data and store the standard deviation of the simulation | ||
// data (ignored for now). | ||
readData("sim_scalar.dat", "y_exp_scalar.txt", simulationScenarios, paramVecs, |
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Are these files included in the PR anywhere?
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Wait, never mind, those are the files that were merged in #580.
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Codecov Report
@@ Coverage Diff @@
## dev #615 +/- ##
==========================================
- Coverage 75.07% 74.87% -0.21%
==========================================
Files 311 312 +1
Lines 23528 23757 +229
==========================================
+ Hits 17664 17788 +124
- Misses 5864 5969 +105
Continue to review full report at Codecov.
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Also converts some tabs to spaces.
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For GPMSA, we expect our log prior and matlab's log prior to differ only by an additive constant in log space. I've added a comment that explains this.
@roystgnr Ok I think I'm done here too. Let me know if you have any comments. |
@briadam This is the pull request where I destroyed all your hard work. I'll resurrect it. |
Hardly destroyed... just morphed it into a necessary prerequisite test. ;-) Honestly, you'll probably do better to just write an inverse problem departing from scalar_pdf_large without looking at what I did as you'll likely then immediately see the issues I ran into with the initial positions and proposal covariance. I can see having to scale the proposal covariance as we discussed today, but it's possible at this point (given all the work you've done) that if you take the initial point at the mean and proposal covariance to be the prior variance, you may fare better than I did, and it'll just work. |
Well, it'll be a pull request in a couple of minutes and then you can tell me what to do with it :) |
Replaces #607.