GianlucaMastrantonio/SparseBartlettPackage: V0.9

The package implements the hierarchical distribution on precision matrices with an arbitrary, user-specified sparsity pattern proposed in Mastrantonio, Alaimo Di Loro and Mingione, “A new hierarchical distribution on arbitrary sparse precision matrices” (arXiv:2506.09607, 2025). The distribution is built through a sparse Bartlett-type decomposition, allowing direct sampling and Bayesian posterior inference via MCMC for models with sparse Gaussian graphical structures. The source code is archived on Zenodo.

Authors

Publication Details

Journal
PORTO@Iris
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24020063
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

GianlucaMastrantonio/SparseBartlettPackage: V0.9

GianlucaMastrantonio
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PORTO@Iris
Statistical Methods and Inference
article

GianlucaMastrantonio/SparseBartlettPackage: V0.9

GianlucaMastrantonio
article en

Abstract

The package implements the hierarchical distribution on precision matrices with an arbitrary, user-specified sparsity pattern proposed in Mastrantonio, Alaimo Di Loro and Mingione, “A new hierarchical distribution on arbitrary sparse precision matrices” (arXiv:2506.09607, 2025). The distribution is built through a sparse Bartlett-type decomposition, allowing direct sampling and Bayesian posterior inference via MCMC for models with sparse Gaussian graphical structures. The source code is archived on Zenodo.

PORTO@Iris
Openalex Percentile: Top 20%
Statistical Methods and Inference
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GianlucaMastrantonio/SparseBartlettPackage: V0.9 — GianlucaMastrantonio · PORTO@Iris (2026) | TGRS Research Map | TGRS