activity
20082024
most citedGeometry of the faithfulness assumption in causal inference

161 citations · 1k across the 69 of their papers we have counts for

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Showing 2014Show all

8 papers · 1 filter

math.AG2014★ 28 cited

Exponential Varieties

Mateusz Michałek, Bernd Sturmfels, Caroline Uhler +1

Exponential varieties arise from exponential families in statistics. These real algebraic varieties have strong positivity and convexity properties, familiar from toric varieties a…

math.ST2014

Exact goodness-of-fit testing for the Ising model

Abraham Martin del Campo, Sarah Cepeda, Caroline Uhler

The Ising model is one of the simplest and most famous models of interacting systems. It was originally proposed to model ferromagnetic interactions in statistical physics and is n…

math.ST2014

Maximum Likelihood Estimation for Linear Gaussian Covariance Models

Piotr Zwiernik, Caroline Uhler, Donald Richards

We study parameter estimation in linear Gaussian covariance models, which are -dimensional Gaussian models with linear constraints on the covariance matrix. Maximum likelihood e…

stat.ML2014★ 3 cited

Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases

Fei Yu, Michal Rybar, Caroline Uhler +1

Following the publication of an attack on genome-wide association studies (GWAS) data proposed by Homer et al., considerable attention has been given to developing methods for rele…

math.ST2014

Exact formulas for the normalizing constants of Wishart distributions for graphical models

Caroline Uhler, Alex Lenkoski, Donald Richards

Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities. In Bayesian treatments of this mo…

stat.ME2014

Faithfulness and learning hypergraphs from discrete distributions

Anna Klimova, Caroline Uhler, Tamas Rudas

The concepts of faithfulness and strong-faithfulness are important for statistical learning of graphical models. Graphs are not sufficient for describing the association structure…

stat.AP2014★ 141 cited

Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies

Fei Yu, Stephen E. Fienberg, Aleksandra Slavković +1

The protection of privacy of individual-level information in genome-wide association study (GWAS) databases has been a major concern of researchers following the publication of "an…

cs.CG2014★ 5 cited

Sphere Packing with Limited Overlap

Mabel Iglesias-Ham, Michael Kerber, Caroline Uhler

The classical sphere packing problem asks for the best (infinite) arrangement of non-overlapping unit balls which cover as much space as possible. We define a generalized version o…