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Sanjeena Subedi
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2020 – today
- 2024
- [j12]Wangshu Tu, Ryan Browne, Sanjeena Subedi
:
A mixture of logistic skew-normal multinomial models. Comput. Stat. Data Anal. 196: 107946 (2024) - 2023
- [j11]Anjali Silva, Xiaoke Qin, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi:
Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data. Bioinform. 39(5) (2023) - [j10]Wangshu Tu, Sanjeena Subedi
:
Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data. J. Classif. 40(3): 638-667 (2023) - 2022
- [j9]Yuan Fang
, Dimitris Karlis, Sanjeena Subedi
:
Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data. J. Classif. 39(3): 510-552 (2022) - [j8]Wangshu Tu, Sanjeena Subedi
:
A family of mixture models for biclustering. Stat. Anal. Data Min. 15(2): 206-224 (2022) - 2021
- [j7]Sanjeena Subedi, Paul D. McNicholas:
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting. J. Classif. 38(1): 89-108 (2021)
2010 – 2019
- 2019
- [j6]Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi:
A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data. BMC Bioinform. 20(1): 394:1-394:11 (2019) - 2015
- [j5]Sanjeena Subedi, Antonio Punzo
, Salvatore Ingrassia
, Paul D. McNicholas
:
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction. Stat. Methods Appl. 24(4): 623-649 (2015) - 2014
- [j4]Sanjeena Subedi, Paul D. McNicholas
:
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. Adv. Data Anal. Classif. 8(2): 167-193 (2014) - 2013
- [j3]Sanjeena Subedi, Antonio Punzo
, Salvatore Ingrassia
, Paul D. McNicholas
:
Clustering and classification via cluster-weighted factor analyzers. Adv. Data Anal. Classif. 7(1): 5-40 (2013) - 2012
- [j2]Zeny Z. Feng, Xiaojian Yang, Sanjeena Subedi, Paul D. McNicholas
:
The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 629-636 (2012) - 2011
- [j1]Jeffrey L. Andrews
, Paul D. McNicholas
, Sanjeena Subedi:
Model-based classification via mixtures of multivariate t-distributions. Comput. Stat. Data Anal. 55(1): 520-529 (2011)
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last updated on 2024-08-03 20:17 CEST by the dblp team
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