A relation between log-likelihood and cross-validation log-scores

التفاصيل البيبلوغرافية
العنوان: A relation between log-likelihood and cross-validation log-scores
المؤلفون: Porta Mana, PierGianLuca
بيانات النشر: Zenodo
سنة النشر: 2019
المجموعة: Zenodo
مصطلحات موضوعية: Bayesian probability theory, cross-validation, log-likelihood, marginal likelihood
الوصف: It is shown that the log-likelihood of a hypothesis or model given some data is equal to an average of all leave-one-out cross-validation log-scores that can be calculated from all subsets of the data. This relation can be generalized to any k -fold cross-validation log-scores.
نوع الوثيقة: report
اللغة: English
Relation: https://doi.org/10.31219/osf.io/k8mj3; oai:zenodo.org:6619064
DOI: 10.31219/osf.io/k8mj3
الاتاحة: https://doi.org/10.31219/osf.io/k8mj3
Rights: info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.D462D397
قاعدة البيانات: BASE