A general approach for developing distribution free tests for general linear models based on simplicial depth is applied to multiple regression. The tests are based on the asympto...
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In ex...
Background: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these ...
David B. Burdick, Christopher C. Cavnor, Jeremy Ha...