Panagiotis Papastamoulis
Panagiotis Papastamoulis
Assistant Professor, Department of Statistics, Athens University of Economics and Business
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An artificial allocations based solution to the label switching problem in Bayesian analysis of mixtures of distributions
P Papastamoulis, G Iliopoulos
Journal of Computational and Graphical Statistics, 2010
label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs
P Papastamoulis
Journal of Statistical Software 69 (1), 1-24, 2016
Evolution of IgE responses to multiple allergen components throughout childhood
R Howard, D Belgrave, P Papastamoulis, A Simpson, M Rattray, ...
Journal of Allergy and Clinical Immunology 142 (4), 1322-1330, 2018
Fast and accurate approximate inference of transcript expression from RNA-seq data
J Hensman, P Papastamoulis, P Glaus, A Honkela, M Rattray
Bioinformatics 31 (24), 3881-3889, 2015
Handling the label switching problem in latent class models via the ECR algorithm
P Papastamoulis
Communications in Statistics-Simulation and Computation 43 (4), 913-927, 2014
On the estimation of mixtures of Poisson regression models with large number of components
P Papastamoulis, ML Martin-Magniette, C Maugis-Rabusseau
Computational Statistics & Data Analysis 93, 97-106, 2016
On the convergence rate of random permutation sampler and ECR algorithm in missing data models
P Papastamoulis, G Iliopoulos
Methodology and Computing in Applied Probability 15 (2), 293-304, 2013
Reversible jump MCMC in mixtures of normal distributions with the same component means
P Papastamoulis, G Iliopoulos
Computational statistics & data analysis 53 (4), 900-911, 2009
Improved variational Bayes inference for transcript expression estimation
P Papastamoulis, J Hensman, P Glaus, M Rattray
Statistical Applications in Genetics and Molecular Biology 13 (2), 203 - 216, 2014
A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data
P Papastamoulis, M Rattray
Journal of the Royal Statistical Society. Series C, Applied Statistics 67 (1), 3, 2018
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data
P Papastamoulis, M Rattray
The R Journal 9 (1), 403-420, 2017
Overfitting Bayesian Mixtures of Factor Analyzers with an Unknown Number of Components
P Papastamoulis
Computational Statistics & Data Analysis 124, 220 - 234, 2018
Bayesian estimation of Differential Transcript Usage from RNA-seq data
P Papastamoulis, M Rattray
Statistical Applications in Genetics and Molecular Biology 16 (5-6), 387 - 405, 2017
Bayesian detection of piecewise linear trends in replicated time-series with application to growth data modelling
P Papastamoulis, T Furukawa, N van Rhijn, M Bromley, E Bignell, ...
The International Journal of Biostatistics, 2019
Clustering Multivariate Data using Factor Analytic Bayesian Mixtures with an Unknown Number of Components
P Papastamoulis
Statistics and Computing 30, 485-506, 2020
On the identifiability of Bayesian factor analytic models
P Papastamoulis, I Ntzoufras, 2020
Package ‘fabMix’
P Papastamoulis
Package ‘BayesBinMix’
P Papastamoulis, MP Papastamoulis
Package ‘poisson. glm. mix’
P Papastamoulis, ML Martin-Magniette, C Maugis-Rabusseau, ...
Approximating the posterior distribution of mixture weights with application to transcript expression estimation
P Papastamoulis, M Rattray
18th European Young Statisticians Meeting, 37, 2013
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