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Combinatorial inference for graphical models
Work
Year: 2019
Type: article
Abstract: We propose a new family of combinatorial inference problems for graphical models. Unlike classical statistical inference where the main interest is point estimation or parameter testing, combinatorial... more
Source: The Annals of Statistics
Authors Matey Neykov, Junwei Lu, Han Liu
Institutions Princeton University, Carnegie Mellon University, Northwestern University
Cites: 32
Cited by: 14
Related to: 10
FWCI: 1.407
Citation percentile (by year/subfield): 83.38
Topic: Bayesian Modeling and Causal Inference
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze