Tsung-I Lin

Orcid: 0000-0002-3992-1128

According to our database1, Tsung-I Lin authored at least 37 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights.
Adv. Data Anal. Classif., June, 2024

On moments of truncated multivariate normal/independent distributions.
J. Multivar. Anal., 2024

Three-way data clustering based on the mean-mixture of matrix-variate normal distributions.
Comput. Stat. Data Anal., 2024

2023
Robust mixture regression modeling based on the normal mean-variance mixture distributions.
Comput. Stat. Data Anal., April, 2023

2022
Robust clustering via mixtures of t factor analyzers with incomplete data.
Adv. Data Anal. Classif., 2022

2021
A Multivariate Flexible Skew-Symmetric-Normal Distribution: Scale-Shape Mixtures and Parameter Estimation via Selection Representation.
Symmetry, 2021

Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation.
Comput. Stat., 2021

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions.
Adv. Data Anal. Classif., 2021

2020
Extending finite mixtures of t linear mixed-effects models with concomitant covariates.
Comput. Stat. Data Anal., 2020

2019
A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets.
J. Multivar. Anal., 2019

Shape mixtures of skew-<i>t</i>-normal distributions: characterizations and estimation.
Comput. Stat., 2019

Model-based clustering of censored data via mixtures of factor analyzers.
Comput. Stat. Data Anal., 2019

Editorial for the 4th Special Issue on advances in mixture models.
Comput. Stat. Data Anal., 2019

Mixtures of restricted skew-t factor analyzers with common factor loadings.
Adv. Data Anal. Classif., 2019

2017
Robust skew-t factor analysis models for handling missing data.
Stat. Methods Appl., 2017

Automated learning of t factor analysis models with complete and incomplete data.
J. Multivar. Anal., 2017

A general class of scale-shape mixtures of skew-normal distributions: properties and estimation.
Comput. Stat., 2017

2016
Maximum likelihood inference for the multivariate t mixture model.
J. Multivar. Anal., 2016

Extending mixtures of factor models using the restricted multivariate skew-normal distribution.
J. Multivar. Anal., 2016

The Third Special Issue on Advances in Mixture Models.
Comput. Stat. Data Anal., 2016

2015
Robust model-based clustering via mixtures of skew-t distributions with missing information.
Adv. Data Anal. Classif., 2015

2014
Flexible mixture modelling using the multivariate skew-t-normal distribution.
Stat. Comput., 2014

Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition.
Comput. Stat. Data Anal., 2014

2013
An efficient ECM algorithm for maximum likelihood estimation in mixtures of <i>t</i>-factor analyzers.
Comput. Stat., 2013

2012
Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms.
Stat. Comput., 2012

Parametric modeling of cellular state transitions as measured with flow cytometry.
BMC Bioinform., 2012

2011
A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues.
Bioinform., 2011

Parametric modeling of cellular state transitions as measured with flow cytometry.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

2010
Robust mixture modeling using multivariate skew <i>t</i> distributions.
Stat. Comput., 2010

Supervised learning of multivariate skew normal mixture models with missing information.
Comput. Stat., 2010

Automated High-Dimensional Flow Cytometric Data Analysis.
Proceedings of the Research in Computational Molecular Biology, 2010

2009
Analysis of multivariate skew normal models with incomplete data.
J. Multivar. Anal., 2009

Maximum likelihood estimation for multivariate skew normal mixture models.
J. Multivar. Anal., 2009

Computationally efficient learning of multivariate <i>t</i> mixture models with missing information.
Comput. Stat., 2009

2007
Robust mixture modeling using the skew <i>t</i> distribution.
Stat. Comput., 2007

2006
On fast supervised learning for normal mixture models with missing information.
Pattern Recognit., 2006

2004
Bayesian analysis of mixture modelling using the multivariate t distribution.
Stat. Comput., 2004


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