Comments (1)
- Input parameters: default - the number of accepted parameters in the posterior (or for each population in the ABC-SMC), and threshold values
$\varepsilon_t$ (ABC-SMC); optional - prior distribution, summary statistics, distance function. - Display the progress of ABC: accepted number of samples from each Monte-Carlo; remove all the other displays in ABaCus by removing those 6 lines from io.jl file (ask Fei).
- Outputs: a 'result' data structure (including posterior population (default), distances, weights) and a N-by-N-dimensional scatter-plots (diagonal are the marginal distributions) -- Fei has the code for such a plot.
from gpabc.jl.
Related Issues (20)
- Plot recipes
- LNA and support for SDE
- 3 gene example in the manual HOT 1
- Linear regresision adjustment
- Quantile distance to set threshold
- Distinguish between distance and summary statistics; provide summary statistics
- Sparse GPs HOT 1
- Requirement for summary statistics to return a 1D array causes unnecessary reshaping
- Win10, failed to build GpABC? HOT 2
- distributed/parallel simulation HOT 1
- Replace GP implementation with AbstractGPs interface?
- How to define the summary statistics and the distance function?
- Version compatibility with KernelDensity.jl HOT 1
- Incompatibility with Flux.jl HOT 1
- Make sure the code is pre-compiled when the package is loaded
- Failing to install HOT 2
- 3 genes example in the manual: SimulatedABCRejection() fails HOT 2
- Parallel (multi-core) model simulations HOT 2
- Negative distance predicted by emulator HOT 4
- Continue inference process from latest results HOT 1
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from gpabc.jl.