{"doi":"10.48550/arxiv.2012.04464","title":"Unknown","abstract":null,"journal":"arXiv (Cornell University)","year":null,"id":32280,"datarank":0.3755551786403787,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.10679125825617039,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.10679125825617039,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":5,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":1.791759469228055,"endowment":1.791759469228055,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18998881","pmcid":null,"openalex_id":"https://openalex.org/W3111430230","authors":[],"funders":[{"funder_name":"National Science Foundation","grant_id":"2027855","title":"ATD: Anomaly Detection with Confidence and Precision"},{"funder_name":"National Science Foundation","grant_id":"1737857","title":"ADT: i-Group Learning and i-Detect for Dynamic Real Time Anomaly Detection with Applications in Maritime Threat Detection"},{"funder_name":"National Science Foundation","grant_id":"1812048","title":"Nonparametric Inference and Prediction for Complex Data by Data Depth, Confidence Distribution and Monte Carlo Method"},{"funder_name":"National Science Foundation","grant_id":"2015373","title":"Repro Sampling Method: A Transformative Artificial-Sample-Based Inferential Framework with Applications to Discrete Parameter, High-Dimensional Data, and Rare Events Inferences"}],"total_grants":4,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2020,"count":2},{"year":2021,"count":2},{"year":2022,"count":1}],"oa_status":"green","license":"CC BY","oa_locations":[{"url":"https://arxiv.org/pdf/2012.04464","host_type":"repository"},{"url":"http://arxiv.org/abs/2012.04464","host_type":"repository"},{"url":"https://doi.org/10.48550/arxiv.2012.04464","host_type":"repository"},{"url":"https://dx.doi.org/10.48550/arxiv.2012.04464","host_type":""}],"fields_of_study":["Statistical Methods and Bayesian Inference","Advanced Statistical Methods and Models","Bayesian Modeling and Causal Inference","Methodology (stat.ME)","Statistics Theory (math.ST)","FOS: Computer and information sciences","FOS: Mathematics","62-00 (Primary) 62A01 (Secondary)","0502 economics and business","05 social sciences","0101 mathematics","01 natural sciences"],"mesh_terms":[],"keywords":["Frequentist inference","Fiducial inference","Inference","Bayesian probability","Bayesian inference","Statistical inference","Bayes factor","Bayes' theorem","Frequentist probability","Bayesian statistics","Artificial intelligence","Computer science","Econometrics","Machine learning","Psychology","Statistics","Mathematics","Methodology (stat.ME)","FOS: Computer and information sciences","FOS: Mathematics","Mathematics - Statistics Theory","Statistics Theory (math.ST)","Statistics - Methodology","62-00 (Primary) 62A01 (Secondary)"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-09T11:10:10.365077Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}