4 papers
Tree-aggregated compositional regression under measurement error
Zhenghan Li, Tianying Wang
Compositional covariates in microbiome studies are often measured with error and organized by a biological hierarchy. Tree aggregation can improve multiresolution interpretation, b…
A Flexible Zero-Inflated Poisson-Gamma model with application to microbiome read counts
Roulan Jiang, Xiang Zhan, Tianying Wang
In microbiome studies, it is of interest to use a sample from a population of microbes, such as the gut microbiota community, to estimate the population proportion of these taxa. H…
Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou, Debdeep Pati, Tianying Wang +2
Covariate measurement error in nonparametric regression is a common problem in nutritional epidemiology and geostatistics, and other fields. Over the last two decades, this problem…
Sparse quadratic classification rules via linear dimension reduction
Irina Gaynanova, Tianying Wang
We consider the problem of high-dimensional classification between the two groups with unequal covariance matrices. Rather than estimating the full quadratic discriminant rule, we…