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Durham University

Email and Telephone Directory

Staff Profile

Konstantinos Perrakis, PhD Hasselt University

Assistant Professor, Statistics in the Department of Mathematical Sciences
Telephone: +44 (0) 191 33 46225
Room number: CM116

Contact Konstantinos Perrakis (email at konstantinos.perrakis@durham.ac.uk)

Research Groups

Department of Mathematical Sciences

  • Probability & Statistics: Statistics
  • Probability and Statistics

Research Interests

  • Bayesian statistics
  • Model and variable selection
  • High-dimensional regression
  • Statistical modelling

Publications

Chapter in book

  • Perrakis, Konstantinos, Fouskakis, Dimitris & Ntzoufras, Ioannis (2015). Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior. In Bayesian Statistics from Methods to Models and Applications. Frühwirth-Schnatter, S, Bitto, A, Kastner, G & Posekany, A. Springer Proceedings in Mathematics & Statistics. Springer, Cham. 126: 59-73.
  • Perrakis, Konstantinos & Ntzoufras, Ioannis (2015). Stochastic Search Variable Selection (SSVS). In Wiley StatsRef: Statistics Reference Online. Balakrishnan, N, Brandimarte, P, Everitt, B, Molenberghs, G, Piegorsch, W & Ruggeri, F. John Wiley & Sons. 1-6.

Journal Article

  • Perrakis, Konstantinos, Mukherjee, Sach & The Alzheimer’s Disease Neuroimaging Initiative (2020). Scalable Bayesian regression in high dimensions with multiple data sources. Journal of Computational and Graphical Statistics 29(1): 28-39
  • Warnat-Herresthal, Stefanie, Perrakis, Konstantinos, Taschler, Bernd, Becker, Matthias, Baßler, Kevin, Beyer, Marc, Günther, Patrick, Schulte-Schrepping, Jonas, Seep, Lea, Klee, Kathrin, Ulas, Thomas, Haferlach, Torsten, Mukherjee, Sach & Schultze, Joachim L. (2020). Scalable prediction of acute myeloid leukemia using high-dimensional machine learning and blood transcriptomics. iScience 23(1): 100780.
  • Fouskakis, Dimitris, Ntzoufras, Ioannis & Perrakis, Konstantinos (2020). Variations of power-expected-posterior priors in normal regression models. Computational Statistics & Data Analysis 143: 106836.
  • Perrakis, Konstantinos & Ntzoufras, Ioannis (2018). Bayesian variable selection using the hyper-g prior in WinBUGS. Wiley Interdisciplinary Reviews: Computational Statistics 10(6): e1442.
  • Fouskakis, Dimitris, Ntzoufras, Ioannis & Perrakis, Konstantinos (2018). Power-expected-posterior priors for generalized linear models. Bayesian Analysis 13(3): 721-748.
  • Perrakis, Konstantinos, Karlis, Dimitris, Cools, Mario & Janssens, Davy (2015). Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures. Journal of the Royal Statistical Society: Series A (Statistics in Society) 178(1): 271-296.
  • Perrakis, Konstantinos, Gryparis, Alexandros, Schwartz, Joel, Tertre, Alain Le, Katsouyanni, Klea, Forastiere, Francesco, Stafoggia, Massimo & Samoli, Evangelia (2014). Controlling for seasonal patterns and time varying confounders in time-series epidemiological models: a simulation study. Statistics in Medicine 33(28): 4904-4918.
  • Perrakis, Konstantinos, Ntzoufras, Ioannis & Tsionas, Efthymios G. (2014). On the use of marginal posteriors in marginal likelihood estimation via importance sampling. Computational Statistics & Data Analysis 77: 54-69.
  • Perrakis, Konstantinos, Karlis, Dimitris, Cools, Mario, Janssens, Davy, Vanhoof, Koen & Wets, Geert (2012). A Bayesian approach for modeling origin–destination matrices. Transportation Research Part A: Policy and Practice 46(1): 200-212.

Conference Paper

  • Perrakis, Konstantinos, Karlis, Dimitris, Cools, Mario, Janssens, Davy & Wets, Geert (2012), Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices, in Komarek, A & Nagy, S eds, 27th International Workshop on Statistical Modelling. Prague, Statistical Modelling Society, 263-268.
  • Perrakis, Konstantinos, Cools, Mario, Karlis, Dimitris, Janssens, Davy, Kochan, Bruno, Bellemans, Tom & Wets, Geert (2012), Quantifying input-uncertainty in traffic assignment models, Transportation Research Board 91st Annual Meeting. Washington, DC, United States.
  • Perrakis, Konstantinos, Karlis, Dimitris, Cools, Mario, Janssens, Davy & Wets, Geert (2011), A Bayesian approach for modeling origin-destination matrices, Transportation Research Board 90th Annual Meeting. Washington, DC, United States.