Bayesian Markov chain Monte Carlo orographic precipitation 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 dataset contains the likelihood and prior for ten Markov chain Monte Carlo chains used for the orographic precipitation analysis in Morales et al. 2020. This data can be used to produce the posterior probability. Output from each CM1 model iteration is provided as well, described in the notes section below. The control CM1 simulation is also included, as well as a text file with other model output' . 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 Inference","orographic precipitation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset contains the likelihood and prior for ten Markov chain Monte Carlo chains used for the orographic precipitation analysis in Morales et al. 2020. This data can be used to produce the posterior probability. Output from each CM1 model iteration is provided as well, described in the notes section below. The control CM1 simulation is also included, as well as a text file with other model output' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset contains the likelihood and prior for ten Markov chain Monte Carlo chains used for the orographic precipitation analysis in Morales et al. 2020. This data can be used to produce the posterior probability. Output from each CM1 model iteration is provided as well, described in the notes section below. The control CM1 simulation is also included, as well as a text file with other model output
Bayesian Inference; orographic precipitation