I worked on my NSF proposal today. I am trying to figure out how the different threads we have on cosmology tie together: We are working on density-field modeling with Gaussian Processes, hierarchical probabilistic models for weak lensing, and probabilistic models for the point-spread function. We also have quasar target selection in the far past and approximate Bayesian computation (tm) in the possible near future. I tried to weave some combination of these into a project summary but am still confused about the best sell.
FYI, DNest makes a really good ABC algorithm.
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