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Journal of the American Statistical Association Volume 115, 2020 - Issue 529
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Theory and Methods

On High-Dimensional Constrained Maximum Likelihood Inference

Yunzhang ZhuDepartment of Statistics, Ohio State University, Columbus, OH; Correspondence[email protected]
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,
Xiaotong ShenSchool of Statistics, University of Minnesota, Minneapolis, MN; View further author information
&
Wei PanDivision of Biostatistics, University of Minnesota, Minneapolis, MNView further author information
Pages 217-230 | Received 13 Aug 2017, Accepted 21 Oct 2018, Published online: 11 Apr 2019

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Read on this site (2)

T. Tony Cai, Zijian Guo & Rong Ma. (2023) Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes. Journal of the American Statistical Association 118:542, pages 1319-1332.
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Chengchun Shi & Lexin Li. (2022) Testing Mediation Effects Using Logic of Boolean Matrices. Journal of the American Statistical Association 117:540, pages 2014-2027.
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Articles from other publishers (2)

Nurudeen A. Adegoke, Andrew Punnett & Marti J. Anderson. (2021) Estimation of Multivariate Dependence Structures via Constrained Maximum Likelihood. Journal of Agricultural, Biological and Environmental Statistics 27:2, pages 240-260.
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Jack Pattee & Wei Pan. (2020) Penalized regression and model selection methods for polygenic scores on summary statistics. PLOS Computational Biology 16:10, pages e1008271.
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