output
20082024
most citedCreation of a high spatiotemporal resolution global database of continuous mangrove forest cover for the 21st Century (CGMFC-21)

986 citations

12 papers

stat.ME2024

Raking mortality rates across cause, population group and geography with uncertainty quantification

Ariane Ducellier, Alexander Hsu, Parkes Kendrick +5

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is the single largest and most detailed scientific effort ever conducted to quantify levels and trends in heal…

stat.ME2019★ 19 cited

Trimmed Constrained Mixed Effects Models: Formulations and Algorithms

Peng Zheng, Ryan Barber, Reed J. D. Sorensen +2

Mixed effects (ME) models inform a vast array of problems in the physical and social sciences, and are pervasive in meta-analysis. We consider ME models where the random effects co…

math.CO2018

Treewidth and gonality of glued grid graphs

Ivan Aidun, Frances Dean, Ralph Morrison +2

We compute the treewidth of a family of graphs we refer to as the glued grids, consisting of the stacked prism graphs and the toroidal grids. Our main technique is constructing str…

cs.CY2017★ 15 cited

Demographics in Social Media Data for Public Health Research: Does it matter?

Nina Cesare, Christan Grant, Jared B. Hawkins +2

Social media data provides propitious opportunities for public health research. However, studies suggest that disparities may exist in the representation of certain populations (e.…

cs.CY2017★ 98 cited

Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence

Adyasha Maharana, Elaine O. Nsoesie

More than one-third of the adult population in the United States is obese. Obesity has been linked to factors such as, genetics, diet, physical activity and the environment. Howeve…

stat.AP2017★ 6 cited

A History Matching Approach for Calibrating Hydrological Models

Natalia V. Bhattacharjee, Pritam Ranjan, Abhyuday Mandal +1

Calibration of hydrological time-series models is a challenging task since these models give a wide spectrum of output series and calibration procedures require significant amount…

cs.SI2017★ 8 cited

How well can machine learning predict demographics of social media users?

Nina Cesare, Christan Grant, Quynh Nguyen +2

The wide use of social media sites and other digital technologies have resulted in an unprecedented availability of digital data that are being used to study human behavior across…

stat.AP2015★ 457 cited

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

Mauricio Santillana, Andre T. Nguyen, Mark Dredze +2

We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple d…

physics.geo-ph2014★ 986 cited

Creation of a high spatiotemporal resolution global database of continuous mangrove forest cover for the 21st Century (CGMFC-21)

Stuart Hamilton, Daniel Casey

The goal of this research is to provide high resolution local, regional, national and global estimates of annual mangrove forest area from 2000 through to 2012. To achieve this we…

stat.ML2013

The connection between Bayesian estimation of a Gaussian random field and RKHS

Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke +1

Reconstruction of a function from noisy data is often formulated as a regularized optimization problem over an infinite-dimensional reproducing kernel Hilbert space (RKHS). The sol…

cond-mat.dis-nn2009★ 11 cited

Clustering with shallow trees

M. Bailly-Bechet, S. Bradde, A. Braunstein +3

We propose a new method for hierarchical clustering based on the optimisation of a cost function over trees of limited depth, and we derive a message--passing method that allows to…

math.PR2008★ 14 cited

A sharp threshold for minimum bounded-depth and bounded-diameter spanning trees and Steiner trees in random networks

Omer Angel, Abraham D. Flaxman, David B. Wilson

In the complete graph on n vertices, when each edge has a weight which is an exponential random variable, Frieze proved that the minimum spanning tree has weight tending to zeta(3)…