Bettina Grün

Orcid: 0000-0001-7265-4773

According to our database1, Bettina Grün authored at least 16 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
A clustering procedure for three-way RNA sequencing data using data transformations and matrix-variate Gaussian mixture models.
BMC Bioinform., December, 2024

Clusterwise multivariate regression of mixed-type panel data.
Stat. Comput., February, 2024

Evolving Voices Based on Temporal Poisson Factorisation.
CoRR, 2024

A Structural Text-Based Scaling Model for Analyzing Political Discourse.
CoRR, 2024

2022
How many data clusters are in the Galaxy data set?
Adv. Data Anal. Classif., 2022

2021
A comparison of optimization solvers for log binomial regression including conic programming.
Comput. Stat., 2021

2016
Model-based clustering based on sparse finite Gaussian mixtures.
Stat. Comput., 2016

2014
On standard conjugate families for natural exponential families with bounded natural parameter space.
J. Multivar. Anal., 2014

On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions.
Comput. Stat., 2014

2013
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data.
Proceedings of the Algorithms from and for Nature and Life, 2013

2012
Modelling time course gene expression data with finite mixtures of linear additive models.
Bioinform., 2012

2010
Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects.
Bioinform., 2010

2009
Dealing with label switching in mixture models under genuine multimodality.
J. Multivar. Anal., 2009

2008
Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects.
J. Classif., 2008

2007
Fitting finite mixtures of generalized linear regressions in R.
Comput. Stat. Data Anal., 2007

2006
Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models.
Proceedings of the Advances in Data Analysis, 2006


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