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Konstantinos Perrakis
Konstantinos Perrakis
Assistant Professor in Statistics, Durham University
Verified email at durham.ac.uk
Title
Cited by
Cited by
Year
On the use of marginal posteriors in marginal likelihood estimation via importance sampling
K Perrakis, I Ntzoufras, EG Tsionas
Computational Statistics & Data Analysis 77, 54-69, 2014
842014
Scalable prediction of acute myeloid leukemia using high-dimensional machine learning and blood transcriptomics
S Warnat-Herresthal, K Perrakis, B Taschler, M Becker, K Ba▀ler, M Beyer, ...
Iscience 23 (1), 2020
592020
A Bayesian approach for modeling origin–destination matrices
K Perrakis, D Karlis, M Cools, D Janssens, K Vanhoof, G Wets
Transportation Research Part A: Policy and Practice 46 (1), 200-212, 2012
592012
Power-expected-posterior priors for generalized linear models
D Fouskakis, I Ntzoufras, K Perrakis
232018
Controlling for seasonal patterns and time varying confounders in time‐series epidemiological models: a simulation study
K Perrakis, A Gryparis, J Schwartz, AL Tertre, K Katsouyanni, F Forastiere, ...
Statistics in Medicine 33 (28), 4904-4918, 2014
232014
Bayesian inference for transportation origin–destination matrices: the Poisson–inverse Gaussian and other Poisson mixtures
K Perrakis, D Karlis, M Cools, D Janssens
Journal of the Royal Statistical Society Series A: Statistics in Society 178á…, 2015
192015
Bayesian variable selection using the hyper‐g prior in WinBUGS
K Perrakis, I Ntzoufras
Wiley Interdisciplinary Reviews: Computational Statistics 10 (6), e1442, 2018
102018
Scalable prediction of acute myeloid leukemia using high‑dimensional machine learning and blood transcriptomics. Iscience. 2020
S Warnat-Herresthal, K Perrakis, B Taschler, M Becker, K Ba▀ler, M Beyer, ...
This paper underscores the immense potential of machine learning iná…, 2019
72019
Stochastic search variable selection (SSVS)
K Perrakis, I Ntzoufras
Wiley StatsRef: Statistics Reference Online, 1-6, 2015
72015
Scalable Bayesian regression in high dimensions with multiple data sources
K Perrakis, S Mukherjee, Alzheimer’s Disease Neuroimaging Initiative
Journal of Computational and Graphical Statistics 29 (1), 28-39, 2020
52020
Latent group structure and regularized regression
K Perrakis, T Lartigue, F Dondelinger, S Mukherjee
42020
Variations of power-expected-posterior priors in normal regression models
D Fouskakis, I Ntzoufras, K Perrakis
Computational statistics & data analysis 143, 106836, 2020
32020
Scalable prediction of acute myeloid leukemia using high-dimensional machine learning and blood transcriptomics. iScience
S Warnat-Herresthal, K Perrakis, B Taschler, M Becker, K Ba▀ler, M Beyer
32020
Diagnostic value of blood gene expression-based classifiers as exemplified for acute myeloid leukemia
S Warnat-Herresthal, K Perrakis, B Taschler, M Becker, L Seep, K Ba▀ler, ...
bioRxiv, 382143, 2018
22018
Bayesian variable selection for generalized linear models using the power-conditional-expected-posterior prior
K Perrakis, D Fouskakis, I Ntzoufras
Bayesian Statistics from Methods to Models and Applications: Research fromá…, 2015
22015
Quantifying Input Uncertainty in Traffic Assignment Models
K Perrakis, M Cools, D Karlis, D Janssens, B Kochan, T Bellemans, ...
91st Annual Meeting of the Transportation Research Board, 2012
22012
Regularized joint mixture models
K Perrakis, T Lartigue, F Dondelinger, S Mukherjee
Journal of Machine Learning Research 24 (19), 1-47, 2023
2023
Penalized longitudinal mixed models with latent group structure, with an application in neurodegenerative diseases
F Hatami, K Perrakis, J Cooper-Knock, S Mukherjee, F Dondelinger
medRxiv, 2020.11. 10.20229302, 2020
2020
Bayesian Analysis
MA Terres, M Fuentes, D Hesterberg, M Polizzotto, D Durante, ...
Bayesian Analysis 13 (1), 2018
2018
Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices
K Perrakis, D Karlis, M Cools, D Janssens, G Wets
27th International Workshop on Statistical Modelling, Prague, Czech Republic, 2012
2012
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Articles 1–20