91 citations · 257 across the 49 of their papers we have counts for
6 papers · 1 filter
Toward a Principled Framework for Disclosure Avoidance
Michael B Hawes, Evan M Brassell, Anthony Caruso +16
Responsible disclosure limitation is an iterative exercise in risk assessment and mitigation. From time to time, as disclosure risks grow and evolve and as data users' needs change…
Topic Modeling for Free-Response Text Data from a Complex Survey
Namitha V. Pais, Scott H. Holan, Paul A. Parker
Topic Modeling is a popular statistical tool commonly used on textual data to identify the hidden thematic structure in a document collection based on the distribution of words. Ad…
Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
Vaidehi Dixit, Scott H. Holan, Christopher K. Wikle
We investigate two asymmetric loss functions, namely LINEX loss and power divergence loss for optimal spatial prediction with area-level data. With our motivation arising from the…
Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
Ryan Janicki, Andrew M. Raim, Scott H. Holan +1
Leveraging multivariate spatial dependence to improve the precision of estimates using American Community Survey data and other sample survey data has been a topic of recent intere…
Bayesian binomial mixture models for estimating abundance in ecological monitoring studies
Guohui Wu, Scott H. Holan, Charles H. Nilon +1
Investigation of species abundance has become a vital component of many ecological monitoring studies. The primary objective of these studies is to understand how specific species…
Bayesian Spatial Change of Support for Count-Valued Survey Data
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We introduce Bayesian spatial change of support methodology for count-valued survey data with known survey variances. Our proposed methodology is motivated by the American Communit…