pysmc is a Python package for sampling complicated probability densities using the celebrated Sequential Monte Carlo method. The core of this package was written during my PhD at Cornell University at the Materials Process Design and Controll Laboratory under the supervision of Prof. Nicholas Zabaras. It is part of the Bayesian Exploration Statistical Toolbox (BEST) initiative. The coupling of the code with PyMC took part at the Mathematics and Computer Science Division at Argonne National Laboratory.
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