17 citations · 53 across the 9 of their papers we have counts for
3 papers · 1 filter
Active information, missing data and prevalence estimation
Ola Hössjer, Daniel Andrés Díaz-Pachón, Chen Zhao +1
The topic of this paper is prevalence estimation from the perspective of active information. Prevalence among tested individuals has an upward bias under the assumption that indivi…
High Dimensional Mode Hunting Using Pettiest Components Analysis
Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao +1
Principal components analysis has been used to reduce the dimensionality of datasets for a long time. In this paper, we will demonstrate that in mode detection the components of sm…
A simple correction for COVID-19 sampling bias
Daniel Andrés Díaz-Pachón, J Sunil Rao
COVID-19 testing has become a standard approach for estimating prevalence which then assist in public health decision making to contain and mitigate the spread of the disease. The…