9 citations · 18 across the 6 of their papers we have counts for
6 papers
Does Spatial Information Improve Influenza Forecasting?
Gabrielle Thivierge, Aaron Rumack, F. William Townes
Seasonal influenza forecasting is critical for public health and individual decision making. We investigate whether the inclusion of data about influenza activity in neighboring st…
Spatio-Temporal Variability of the Pepper Mild Mottle Virus Biomarker in Wastewater
AnnaElaine L. Rosengart, Amanda L. Bidwell, Marlene K. Wolfe +2
Since the start of the coronavirus-19 pandemic, the use of wastewater-based epidemiology (WBE) for disease surveillance has increased throughout the world. Because wastewater measu…
Correcting for heterogeneity in real-time epidemiological indicators
Aaron Rumack, Roni Rosenfeld, F. William Townes
Auxiliary data sources have become increasingly important in epidemiological surveillance, as they are often available at a finer spatial and temporal resolution, larger coverage,…
Nonnegative spatial factorization
F. William Townes, Barbara E. Engelhardt
Gaussian processes are widely used for the analysis of spatial data due to their nonparametric flexibility and ability to quantify uncertainty, and recently developed scalable appr…
Contrastive latent variable modeling with application to case-control sequencing experiments
Andrew Jones, F. William Townes, Didong Li +1
High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools for understanding cellular state. Often it is of interest to quantify and summarize changes in cell state t…
Review of Probability Distributions for Modeling Count Data
F. William Townes
Count data take on non-negative integer values and are challenging to properly analyze using standard linear-Gaussian methods such as linear regression and principal components ana…