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1. barker barker Public

   Code for the paper Livingstone and Zanella (2019) "On the robustness of gradient-based MCMC"

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2. TGS TGS Public

   R code to implement the (weighted) Tempered Gibbs Sampling algorithm

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3. Metropolis-within-Gibbs Metropolis-within-Gibbs Public

   repo for the paper Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models by F.Ascolani, G.O.Roberts and G.Zanella

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4. ProbitDA ProbitDA Public

   Code for the paper "Analysis of data-augmentation samplers for high-dimensional probit regression" by Filippo Ascolani and Giacomo Zanella

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5. MCMC-discrete MCMC-discrete Public

   R code for the paper "Informed proposals for local MCMC in discrete spaces" by G.Zanella

6. multigrid multigrid Public

   Supporting code for Rejoinder of paper "Multilevel Linear Models, Gibbs Samplers and Multigrid Decompositions"

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