5 citations · 9 across the 2 of their papers we have counts for
4 papers
Improving COVID-19 Forecasting using eXogenous Variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari +7
In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques whi…
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…
Regression shrinkage and grouping of highly correlated predictors with HORSES
Woncheol Jang, Johan Lim, Nicole A. Lazar +2
Identifying homogeneous subgroups of variables can be challenging in high dimensional data analysis with highly correlated predictors. We propose a new method called Hexagonal Oper…