Summary of key model structures, assumptions, and characteristics to compare for each model. The model runtime refers to the time taken for the nowcast model to fit, perform inference and post-processing to occur. The posterior samples are the number of samples taken from the model fit, with the burn-in referring to the number of warm up samples taken before estimating the nowcast.
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https://figshare.com/articles/dataset/Summary_of_key_model_structures_assumptions_and_characteristics_to_compare_for_each_model_The_model_runtime_refers_to_the_time_taken_for_the_nowcast_model_to_fit_perform_inference_and_post-processing_to_occur_The_posterior_samples_are_the_n/28461856
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Summary of key model structures, assumptions, and characteristics to compare for each model. The model runtime refers to the time taken for the nowcast model to fit, perform inference and post-processing to occur. The posterior samples are the number of samples taken from the model fit, with the burn-in referring to the number of warm up samples taken before estimating the nowcast.
创建时间：
2025-02-21
