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Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge

Electronic Journal of Statistics(2023)10.1214/23-ejs2151Source: DataRank Database

Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge is a research paper published in Electronic Journal of Statistics (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: goldTopics (18)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Alex Luedtke ORCID,Hongxiang Qiu ORCID

Live enrichment

PubMed:38463692 OpenAlex:https://openalex.org/W4386429956

NLM NIH HHS

Grant: DP2 LM013340

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://projecteuclid.org/journals/electronic-journal-of-statistics/volume-17/issue-2/Adversarial-meta-learning-of-Gamma-minimax-estimators-that-leverage-prior/10.1214/23-EJS2151.pdf

publisherhttps://projecteuclid.org/journals/electronic-journal-of-statistics/volume-17/issue-2/Adversarial-meta-learning-of-Gamma-minimax-estimators-that-leverage-prior/10.1214/23-EJS2151.pdf

journalhttp://dx.doi.org/10.1214/23-ejs2151

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38463692

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10923594

Fields of Study

Statistical Methods and InferenceAdvanced Statistical Methods and ModelsBayesian Modeling and Causal Inference

Keywords

EstimatorMinimaxMathematicsPrior probabilityMathematical optimizationMinimax estimatorBayes' theoremLeverage (statistics)Artificial intelligenceMachine learningComputer scienceBayesian probabilityStatisticsMinimum-variance unbiased estimatorGamma-minimax estimation

Sustainable Development Goals

SDG 0: Life in Land