4 citations · 8 across the 5 of their papers we have counts for
5 papers
On the extreme order statistics for stationary Gaussian sequences subject to random missing observations
Yuan Fang, Zhongquan Tan
Let be a sequence of stationary Gaussian variables and suppose that only some of the random variables from can be observed. In this pa…
Tackling the infinite likelihood problem when fitting mixtures of shifted asymmetric Laplace distributions
Yuan Fang, Brian C. Franczak, Sanjeena Subedi
Mixtures of shifted asymmetric Laplace distributions were introduced as a tool for model-based clustering that allowed for the direct parameterization of skewness in addition to lo…
Clustering microbiome data using mixtures of logistic normal multinomial models
Yuan Fang, Sanjeena Subedi
Discrete data such as counts of microbiome taxa resulting from next-generation sequencing are routinely encountered in bioinformatics. Taxa count data in microbiome studies are typ…
Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data
Yuan Fang, Dimitris Karlis, Sanjeena Subedi
Mixtures of multivariate normal inverse Gaussian (MNIG) distributions can be used to cluster data that exhibit features such as skewness and heavy tails. However, for cluster analy…
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Yuan Fang, Dimitris Karlis, Sanjeena Subedi
Non-Gaussian mixture models are gaining increasing attention for mixture model-based clustering particularly when dealing with data that exhibit features such as skewness and heavy…