Leave-one-out cross validation model comparison using the estimated difference in ELPD (expected log pointwise predictive probabilities).

التفاصيل البيبلوغرافية
العنوان: Leave-one-out cross validation model comparison using the estimated difference in ELPD (expected log pointwise predictive probabilities).
المؤلفون: Sarah Kada, Gabriela Paz-Bailey, Laura E. Adams, Michael A. Johansson
سنة النشر: 2024
مصطلحات موضوعية: Neuroscience, Biotechnology, Ecology, Cancer, Infectious Diseases, Environmental Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, secondary case model, routine surveillance combined, monitor arbovirus circulation, guiding vaccine deployment, 7 %&# 8211, 044 &# 8211, 02 %&# 8211, 00002 &# 8211, dengue virus transmission, dengue may change, surveillance data better, us virgin islands, e ., force, 2010 &# 8211, territories , time within jurisdictions, us territories, dengue viruses, serological data, puerto rico, primary infections, powerful tools
الوصف: ELPD is a measure of out-of-sample predictive accuracy, as estimated by the Bayesian leave-one-out cross validation (LOO). We compared model P (cases as primary) to models PS and S (primary and secondary cases and secondary cases only). Models under the horizontal bar at 0 fit the data better than model P (reference). Vertical bars represent the corresponding standard error of the difference in ELPD.
نوع الوثيقة: still image
اللغة: unknown
العلاقة: https://figshare.com/articles/figure/Leave-one-out_cross_validation_model_comparison_using_the_estimated_difference_in_ELPD_expected_log_pointwise_predictive_probabilities_/25328561Test
DOI: 10.1371/journal.pntd.0011143.g004
الإتاحة: https://doi.org/10.1371/journal.pntd.0011143.g004Test
https://figshare.com/articles/figure/Leave-one-out_cross_validation_model_comparison_using_the_estimated_difference_in_ELPD_expected_log_pointwise_predictive_probabilities_/25328561Test
حقوق: CC BY 4.0
رقم الانضمام: edsbas.C48BD29A
قاعدة البيانات: BASE