STATS

Selected publications

1. D. Fouskakis, I. Ntzoufras:
   Bayesian Model Averaging using Power-Expected-Posterior Priors.
   Econometrics 8, 17, 2020. [pdf]
2. D. Cheliotis, I. Kontoyiannis, M. Loulakis, S. Toumpis:
   A simple network of nodes moving on the circle.
   Random Structures and Algorithms (forthcoming). [pdf]
3. C. Huber-Carol, S. Gross, I. Vonta:
   Risk analysis: Survival data analysis versus Machine Learning, Application to Alzheimer Prediction.
   Comptes Rendus Mecanique de l'Académie des Sciences 347, 817–830, 2019. [pdf]
4. E. Slud, F. Vonta, A. Kagan:
   Combining estimators of a common parameter across samples.
   Statistical Theory and Related Fields 2, 158–171, 2018. [pdf]
5. D. Fouskakis, I. Ntzoufras, K. Perrakis:
   Power-expected-posterior priors in generalized linear models.
   Bayesian Analysis 13, 721–748, 2018. [pdf]
6. E. Charitidou, D. Fouskakis, I. Ntzoufras:
   Objective Bayesian transformation and Variable Selection using Default Bayes Factors.
   Statistics and Computing 28, 579–594, 2018. [pdf]
7. I. Armendáriz, S. Grosskinsky, M. Loulakis:
   Metastability in a condensing zero-range process in the thermodynamic limit.
   Probability Theory and Related Fields 169, 105–175, 2017. [pdf]
8. F. Vonta, A. Karagrigoriou:
   Goodness of fit tests via φ-measures of divergence for censored data.
   Journal of Statistical Computation and Simulation 84, 946–963, 2014. [pdf]
9. E. Androulakis, C. Koukouvinos, F. Vonta:
   Estimation and variable selection via the penalized frailty model.
   Statistics in Medicine 31, 2223–2239, 2012. [pdf]
10. D. Fouskakis:
    Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods.
    European Journal of Operational Research 220, 414–422, 2012. [pdf]
11. S. Lee, F. Vonta, A. Karagrigoriou:
    A maximum entropy type test of fit.
    Computational Statistics and Data Analysis 55, 2635–2643, 2011. [pdf]
12. D. Fouskakis, I. Ntzoufras, D. Draper:
    Bayesian variable selection using a cost-adjusted BIC, with application to cost-effective measurement of quality of health care.
    Annals of Applied Statistics 3, 663–690, 2009. [pdf]
13. D. Fouskakis, I. Ntzoufras, D. Draper:
    Population-based reversible-jump Markov chain Monte Carlo for Bayesian variable selection and evaluation under cost limit restrictions.
    Journal of the Royal Statistical Society, Series C: Applied Statistics 58, 383–403, 2009. [pdf]
14. D. Fouskakis, D. Draper:
    Comparing stochastic optimization methods for variable selection in binary outcome prediction with application to health policy.
    Journal of the American Statistical Association 103, 1367–1381, 2008. [pdf]
15. M. Loulakis:
    Einstein relation for a tagged particle in simple exclusion processes.
    Communications in Mathematical Physics 229, 347–367, 2002. [pdf]