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C++ template library for probabilistic programming
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v1.0
3 years ago
Model expressions can be built for univariate, multi-samples
NUTS and Metropolis-Hastings algorithm implemented
NUTS optimized using STAN's logic
Adaptive up to diagonal precision matrix
Windowed approach as in STAN for warmup
Modified "state" variable (theta) to be momentum integration
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