main webpage W Topic Statistics arXiv (Cornell University) Optimal Semi-supervised Estimation and Inference for High-dimensional Linear Regression 2020 There are many scenarios such as the electronic health records where the outcome is much more difficult to collect than the covariates. In this paper, we consider the linear regression problem with such a data structure under the high dimensionality. Our goal… Article Open Statistics Open Article Page

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Study of collection and analysis of data Statistics (from German: Statistik , orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. Critical Symbolic Virtual Narrative Open Statistics Open Article Page

Exploring foci of: arXiv (Cornell University) Optimal Semi-supervised Estimation and Inference for High-dimensional Linear Regression 2020 There are many scenarios such as the electronic health records where the outcome is much more difficult to collect than the covariates. In this paper, we consider the linear regression problem with such a data structure under the high dimensionality. Our goal is to investigate when and how the unlabeled data can be exploited to improve the estimation and inference of the regression parameters in linear models, especially in light of the fact that such linear models may be misspecified in data analysis. In particul… Open Article Page

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Explore Statistics W Topic Statistics arXiv (Cornell University) Optimal Semi-supervised Estimation and Inference for High-dimensional Linear Regression 2020 There are many scenarios such as the electronic health records where the outcome is much more difficult to collect than the covariates. In this paper, we consider the linear regression problem with such a data structure under the high dimensionality. Our goal… Article Critical Symbolic Virtual Narrative Open Statistics Open Article Page