Model-based classification via mixtures of multivariate t-distributions. - Jeffrey L. Andrews; Paul D. McNicholas; Sanjeena Subedi (Comput. Stat. Data Anal., 2011)

The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits. - Zeny Z. Feng; Xiaojian Yang; Sanjeena Subedi; Paul D. McNicholas (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Clustering and classification via cluster-weighted factor analyzers. - Sanjeena Subedi; Antonio Punzo; Salvatore Ingrassia; Paul D. McNicholas (Adv. Data Anal. Classif., 2013)

Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. - Sanjeena Subedi; Paul D. McNicholas (Adv. Data Anal. Classif., 2014)

Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction. - Sanjeena Subedi; Antonio Punzo; Salvatore Ingrassia; Paul D. McNicholas (Stat. Methods Appl., 2015)

A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data. - Anjali Silva; Steven J. Rothstein; Paul D. McNicholas; Sanjeena Subedi (BMC Bioinform., 2019)

A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting. - Sanjeena Subedi; Paul D. McNicholas (J. Classif., 2021)

Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data. - Yuan Fang; Dimitris Karlis; Sanjeena Subedi (J. Classif., 2022)

A family of mixture models for biclustering. - Wangshu Tu; Sanjeena Subedi (Stat. Anal. Data Min., 2022)

Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data. - Anjali Silva; Xiaoke Qin; Steven J. Rothstein; Paul D. McNicholas; Sanjeena Subedi (Bioinform., 2023)

Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data. - Wangshu Tu; Sanjeena Subedi (J. Classif., 2023)

A mixture of logistic skew-normal multinomial models. - Wangshu Tu; Ryan Browne; Sanjeena Subedi (Comput. Stat. Data Anal., 2024)