Replication Data for: Optimal Thinning of MCMC Output
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The full MCMC output from each sampler on each model considered in the Empirical Assessment section of the paper. This dataset contains, for each ODE model and each MCMC method, the states visited by the Markov chain and their corresponding gradients. The 'Stein Thinning' software described in the Software section of the paper can be used to post-process these datasets at minimal effort, enabling our findings to be reproduced.Latest version: added description for the MCMC output files for the cardiac (Hinch) model (i.e., those in Posterior.zip and Tempered_posterior.zip)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Bayesian computation","greedy optimisation","Markov chain Monte Carlo","reproducing kernel","Stein's method"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The full MCMC output from each sampler on each model considered in the Empirical Assessment section of the paper. This dataset contains, for each ODE model and each MCMC method, the states visited by the Markov chain and their corresponding gradients. The 'Stein Thinning' software described in the Software section of the paper can be used to post-process these datasets at minimal effort, enabling our findings to be reproduced.Latest version: added description for the MCMC output files for the cardiac (Hinch) model (i.e., those in Posterior.zip and Tempered_posterior.zip)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The full MCMC output from each sampler on each model considered in the Empirical Assessment section of the paper. This dataset contains, for each ODE model and each MCMC method, the states visited by the Markov chain and their corresponding gradients. The 'Stein Thinning' software described in the Software section of the paper can be used to post-process these datasets at minimal effort, enabling our findings to be reproduced.Latest version: added description for the MCMC output files for the cardiac (Hinch) model (i.e., those in Posterior.zip and Tempered_posterior.zip)
Bayesian computation; greedy optimisation; Markov chain Monte Carlo; reproducing kernel; Stein's method