first stab at integrated prior; works somewhat #1075
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Please do not merge yet
The idea
Place a proper prior on the (constant) population size
Neand then integrate it out of the coalescent likelihood.(i) Employing an inverse-Gamma prior on
Ne, with parametersalphaandbetaone gets a nice closed-form density. This is clumsily implemented insrc/dr/evomodel/coalescent/IGCoalescentLikelihood.java.(ii) Later, one can integrate over
betafrom0touto potentially get a prior that does not need user input. This has not yet been implemented.Tests
Tests compare the results of using the integrated prior with
alpha = 2.0andbeta = 10.0- giving a prior expectation ofE[Ne] = 10- and the same prior onNebut sampling its distribution using a standardScaleOperator(full).All tests were run with
beast -seed 666 -overwritefor 10M iterations, sampling every 100. Only one replicate was run.Results are shown for tree height and tree length (sum of branch lenghts).
note: Root height should be
2*10*(4/5) = 16.note: root height should be round about
2*10*49/50 = 19.6Notes detailing the calculations are available upon request.
all_xmls.zip