Likelihood Ratio Tests for a Large Directed Acyclic Graph

Inference of directional pairwise relations between interacting units in a directed acyclic graph (DAG), such as a regulatory gene network, is common in practice, imposing challenges because of lack of inferential tools. For example, inferring a specific gene pathway of a regulatory gene network is...

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Vydané v:	Journal of the American Statistical Association Ročník 115; číslo 531; s. 1304 - 1319
Hlavní autori:	Li, Chunlin, Shen, Xiaotong, Pan, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Taylor & Francis 02.07.2020 Taylor & Francis Ltd
Predmet:	Alzheimer's disease Asymptotic properties Chi-square test Computational geometry Computer simulation Convexity data collection Directed acyclic graph Distribution Gene expression Gene network High-dimensional inference Independent variables Inference L0-regularization Likelihood ratio Mathematical programming Networks Nonconvex minimization Power structure Probability distribution functions Regression analysis Regulation regulator genes Statistical methods Statistics Directed acyclic graph L0-regularization high-dimensional inference gene network nonconvex minimization
ISSN:	0162-1459, 1537-274X, 1537-274X
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