A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Algebraic Statistics in Practice: Applications to Networks
2017
Annual Review of Statistics and Its Application
Algebraic statistics uses tools from algebra (especially from multilinear algebra, commutative algebra, and computational algebra), geometry, and combinatorics to provide insight into knotty problems in mathematical statistics. In this review, we illustrate this on three problems related to networks: network models for relational data, causal structure discovery, and phylogenetics. For each problem, we give an overview of recent results in algebraic statistics, with emphasis on the statistical
doi:10.1146/annurev-statistics-031017-100053
fatcat:cmd2g7mbhzgbxpp4erqzf5klfu