This C++ version of BAT is still being maintained, but addition of new features is unlikely.
Check out our new incarnation,
BAT.jl, the Bayesian analysis toolkit in Julia.
In addition to Metropolis-Hastings sampling, BAT.jl supports
Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic
prior-based parameter space transformations, and much more. See the
BAT.jl documentation.
Results of performance testing for BAT version 0.9
Test "1d_gaus_lag"
Plots
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Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. |
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Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. |
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Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. |
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Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. |
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Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. | Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties. |