4 papers · 1 filter
Multiplicative Errors-in-Variables Models for Hyperspectral Unmixing
Vivek Singh, Peter Hoff
Estimating endmember spectra and their corresponding abundances from hyperspectral images is a fundamental inverse problem in remote sensing. The standard linear mixing model relie…
Extended rank regression for all ordinal data
Peter Hoff, Supratik Basu
The accuracy of inference from a regression model depends largely on how well the model represents the relationship between the mean and variance of the outcomes. As this relations…
A flexible and interpretable spatial covariance model for data on graphs
Michael F. Christensen, Peter D. Hoff
Spatial models for areal data are often constructed such that all pairs of adjacent regions are assumed to have near-identical spatial autocorrelation. In practice, data can exhibi…
The multirank likelihood for semiparametric canonical correlation analysis
Jordan G. Bryan, Jonathan Niles-Weed, Peter D. Hoff
Many analyses of multivariate data focus on evaluating the dependence between two sets of variables, rather than the dependence among individual variables within each set. Canonica…