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20092022
most citedConscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

156 citations · 202 across the 9 of their papers we have counts for

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Showing math.PRShow all

8 papers · 1 filter

math.PR2022

The Mathematics of Evolution: The Price Equation, Natural Selection, and Environmental Change

Tom LaGatta

George Price introduced his famous equation to study selective and environmental effects in discrete populations. We extend Price's framework to the measurable and quantum cases, d…

math.PR2014

A Structural Approach to Coordinate-Free Statistics

Tom LaGatta, P. Richard Hahn

We consider the question of learning in general topological vector spaces. By exploiting known (or parametrized) covariance structures, our Main Theorem demonstrates that any conti…

math.PR2012★ 1 cited

Geodesics of Random Riemannian Metrics: Supplementary Material

Tom LaGatta, Jan Wehr

This is supplementary material for the main Geodesics article by the authors. In Appendix A, we present some general results on the construction of Gaussian random fields. In Appen…

math.PR2012★ 8 cited

Geodesics of Random Riemannian Metrics

Tom LaGatta, Jan Wehr

We analyze the disordered Riemannian geometry resulting from random perturbations of the Euclidean metric. We focus on geodesics, the paths traced out by a particle traveling in th…

math.PR2011★ 1 cited

Dissertation: Geodesics of Random Riemannian Metrics

Tom LaGatta

We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differential geometry, by considering a random, smooth Riemannian metric on $\mathbb R^d…

math.PR2011★ 6 cited

Group Incentives and Rational Voting

Alastair Smith, Bruce Bueno de Mesquita, Tom LaGatta

Our model describes competition between groups driven by the choices of self-interested voters within groups. Within a Poisson voting environment, parties observe aggregate support…

math.PR2010

Continuous Disintegrations of Gaussian Processes

Tom LaGatta

The goal of this paper is to understand the conditional law of a stochastic process once it has been observed over an interval. To make this precise, we introduce the notion of a c…

math.PR2009★ 9 cited

A Shape Theorem for Riemannian First-Passage Percolation

Tom LaGatta, Jan Wehr

Riemannian first-passage percolation (FPP) is a continuum model, with a distance function arising from a random Riemannian metric in . Our main result is a shape theorem for…