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Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models

arXiv (Cornell University)(2023)10.48550/arxiv.2302.14218Source: DataRank Database

Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models is a research paper published in arXiv (Cornell University) (2023). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: greenTopics (28)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (2)

Bin Nan ORCID,Omar Vazquez ORCID

Live enrichment

PubMed:20819859 OpenAlex:https://openalex.org/W4322759593

National Institutes of Health

Grant: 5R01AG056764-04

Cutting Edge Survival Methods for Epidemiological Data

National Science Foundation

Grant: 1915711

High-Dimensional Inference beyond Linear Models

National Institutes of Health

Grant: 1RF1AG075107-01A1

Statistical Methods for Alzheimer's Research

greenLicense: CC BY NC ND

repositoryhttps://arxiv.org/pdf/2302.14218

repositoryhttp://arxiv.org/abs/2302.14218

repositoryhttps://doi.org/10.48550/arxiv.2302.14218

https://doi.org/10.1002/cjs.11827

https://dx.doi.org/10.48550/arxiv.2302.14218

Fields of Study

Statistical Methods and InferenceAdvanced Causal Inference TechniquesStatistical Methods and Bayesian InferenceMethodology (stat.ME)FOS: Computer and information sciences0101 mathematics01 natural sciences

Keywords

Lasso (programming language)EstimatorStatisticsMathematicsInferenceLinear regressionVariance (accounting)Sample (material)Asymptotic distributionAlgorithmComputer scienceArtificial intelligenceMethodology (stat.ME)FOS: Computer and information sciencessingle nucleotide polymorphismasymptotic normalityhigh-dimensional inferencegenetic markersparse regressionStatistics - MethodologyArticle

Sustainable Development Goals

SDG 0: Good health and well-being