Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
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Updated
Jul 19, 2026 - Julia
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
Gradient-informed particle MCMC methods
Python framework for simulating and estimating Bayesian nonlinear pricing models with regime-switching and adaptive volatility filters.
R package for Bayesian inference with interacting particle systems
Matlab toolbox for Bayesian inference with interacting particle systems
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