11 citations · 23 across the 9 of their papers we have counts for
6 papers · 1 filter
Scale Reliant Inference
Michelle Pistner Nixon, Kyle C. McGovern, Jeffrey Letourneau +4
Many scientific fields, including human gut microbiome science, collect multivariate count data where the sum of the counts is unrelated to the scale of the underlying system being…
Hypothesis Testing for Shapes using Vectorized Persistence Diagrams
Chul Moon, Nicole A. Lazar
Topological data analysis involves the statistical characterization of the shape of data. Persistent homology is a primary tool of topological data analysis, which can be used to a…
Method of Moments Histograms
James S. Weber, Nicole A. Lazar
Uniform bin width histograms are widely used so this data graphic should represent data as correctly as possible. Method of moments based on familiar mean, variance and Fisher-Pear…
Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, Noah Giansiracusa, Nicole A. Lazar
Topological data analysis (TDA) is a rapidly developing collection of methods for studying the shape of point cloud and other data types. One popular approach, designed to be robus…
Split Sample Empirical Likelihood
Adam Jaeger, Nicole Lazar
We propose a new approach that combines multiple non-parametric likelihood-type components to build a data-driven approximation of the true likelihood function. Our approach is bui…
A Bayesian Generalized CAR Model for Correlated Signal Detection
D. Andrew Brown, Gauri S. Datta, Nicole A. Lazar
Over the last decade, large-scale multiple testing has found itself at the forefront of modern data analysis. In many applications data are correlated, so that the observed test st…