Refereed Publications in Journals

    Statistics

1. Fouskakis D., Ntzoufras I. & Perrakis K. (2019). Variations of Power-Expected-Posterior Priors in Normal Regression Models, Computational Statistics and Data Analysis (forthcoming); Arxiv: https://arxiv.org/abs/1609.06926. 

2. Ntzoufras, I., Tarantola, C., and  Lupparelli, M. (2019). Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models. Bayesian Analysis 14, 777-803.

3. Perrakis, K. and Ntzoufras I. (2018). Bayesian Variable Selection using the hyper-g prior in WinBUGS. WIREs Computational Statistics, Volume 10, Issue 6, e1442.

4. Perrakis, K., Fouskakis, D., and Ntzoufras I. (2018). Power-Expected-Posterior Priors for Generalized Linear Models. Bayesian Analysis, 13, 721–748.

5. Consonni G., Fouskakis D., Liseo B., and Ntzoufras I. (2018). Prior Distributions for Objective Bayesian Analysis. Bayesian Analysis, 13, 627–679.

6. Malesios, C., Demiris, N., Kalogeropoulos, K. and Ntzoufras I. (2017). Bayesian spatio-temporal epidemic models with applications to sheep pox. Statistics in Medicine Statistics in Medicine,  36, 3216–3230.

7. Charitidou, E.,  Fouskakis, D.  and Ntzoufras, I. (2018). Objective Bayesian transformation and variable selection using default Bayes factors. Statistics and Computing, 28, 579-594.

8. Fouskakis, D. and Ntzoufras, I. (2017). Information consistency of the Jeffreys power-expected-posterior prior in Gaussian linear models. Metron, 75, 371-380.

9. Vitoratou, S. and Ntzoufras, I. (2016). Thermodynamic assessment of probability distribution divergencies and Bayesian model comparison. Statistics and Computing 27, 1165-1180.; arXiv:1308.6753v2 [stat.ME].

10. Fouskakis, D. and Ntzoufras, I. (2016). Power-Conditional-Expected Priors: Using g-priors with Random Imaginary Data for Variable Selection. Journal of Computational and Graphical Statistics, 25(03), 647-664.

11. Fouskakis, D. and Ntzoufras, I. (2016). Limiting behavior of the Jeffreys Power-Expected-Posterior Bayes Factor in Gaussian Linear Models.  Brazilian Journal of Probability and Statistics, 30, 299-320.

12. Vitoratou, S., Ntzoufras, I. and Moustaki I. (2016). Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions. Statistics and Computing, 26, 333-348.  

13. Charitidou, E., Fouskakis, D. and Ntzoufras I. (2015). Bayesian transformation family selection: moving towards a transformed Gaussian universe. The Canadian Journal of Statistics, 43, 600-623.

14. Perrakis, K. and Ntzoufras, I. (2015). Stochastic Search Variable Selection (SSVS). Wiley StatsRef: Statistics Reference Online.

15. Fouskakis, D., Ntzoufras, I. and Draper, D. (2015). Power-Expected-Posterior Priors for Variable Selection in Gaussian Linear Models. Bayesian Analysis, 10, 75-107. [Electronic Appendix is available here]

16. Perrakis, K., Ntzoufras, I. and Tsionas, E. (2014). On the use of marginal posteriors in marginal likelihood estimation via importance-sampling. Computational Statistics and Data Analysis, 77, 54-69.

17. Vitoratou, S., Ntzoufras, I and Moustaki, I. (2014). Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models. Journal of Statistical Computation and Simulation, 84, 2091 – 2105. .

18. Mavridis, D. and Ntzoufras I. (2014). Stochastic Search Item Selection for Factor Analytic Models. British Journal of Mathematical and Statistical Psychology, 67, 284–303.

19. Tarantola, C., Ntzoufras, I. and Lupareli M. (2013). Graphical marginal log-linear graphical models – Bayesian perspective, , Sociological Methodology, 43, 109-113.

20. Ntzoufras I. and Tarantola C. (2013). Conjugate and Conditional Conjugate Bayesian Analysis of Discrete Graphical Models of Marginal Independence, Computational Statistics and Data Analysis, 66, 161-177. [pdf]

21. Fouskakis, D. and Ntzoufras, I. (2013). Computation for Intrinsic Variable Selection in Normal Regression Models via Expected-Posterior Prior. Statistics and Computing, 23, 491–499.[pdf]

22. Lykou, A. and Ntzoufras, I (2013). On Bayesian Lasso Variable Selection and the Specification of the Shrinkage Parameter. Statistics and Computing, 23, 361–390. [pdf]

23. Dellaportas P., Forster J.J. and Ntzoufras I. (2012). Joint Specification of Model Space and Parameter Space Prior Distributions. Statistical Science, 27, 232-246.  [pdf]

24. Lykou, A. and Ntzoufras, I (2011). WinBUGS: A Tutorial, WIREs Computational Statistic (invited). 3, 385–396. [pdf, WinBUGS files]

25. Karlis, D. and Ntzoufras, I. (2011). Robust fitting of football prediction models.  IMA Journal of Management Mathematics, 22, 171-182.[pdf]

26. Iliopoulos, G., Kateri, M. and Ntzoufras, I. (2009). Bayesian Model Comparison for the Order Restricted RC Association Model  Psychometrika, 74, 561–587.[pdf]

27. Fouskakis, D., Ntzoufras, I. and Draper, D. (2009). Population-Based Reversible Jump MCMC for Bayesian Variable Selection and Evaluation Under Cjsost-Limit Restrictions. Journal of the Royal Statistical Society C  (Applied Statistics), 58,  383-403. [pdf].

28. Fouskakis, D., Ntzoufras, I. and Draper, D. (2009). Bayesian variable selection using a cost-penalised approach, with application to cost-effective measurement of quality of health care. Annals of Applied Statistics Annals of Applied Statistics, 3, 663-690. [First Version: 1 Sep 2006; Accepted: 8/9/2008, pdf].

29. Eleftheraki, A.G., Kateri, M. and Ntzoufras, I. (2009). Bayesian Analysis of Two Dependent 2x2 Contingency Tables. Computational Statistics and Data Analysis, 53, 2724-2732. [pdf].

30. Karlis, D. and Ntzoufras, I. (2009). Bayesian modelling of football outcomes (using the Skellam's distribution), IMA Journal of Management Mathematics, 20, 133-146.  [pdf].

31. Iliopoulos G. , Kateri M. and Ntzoufras I. (2007). Bayesian Estimation of Unrestricted and Order-Restricted Association Models for a Two-Way Contingency Table. Computational Statistics and Data Analysis, 51, 4643-4655. [Download paper]

32. Karlis D. and Ntzoufras I. (2006). Bayesian analysis of the differences of  count data. Statistics in Medicine 25, 1885-1905. [Download paper].

33. Katsis A. and Ntzoufras I. (2005). Bayesian Hypothesis Testing for the Distribution of Insurance Claim Counts Using the Gibbs Sampler. Journal of Computational Methods in Science and Engineering, 5, 201-214. [Download paper]

34. Iliopoulos G., Karlis D.  and Ntzoufras I. (2005) Bayesian estimation in Kibble's bivariate gamma distribution. Canadian Journal of Statistics 33,  571-589. [Download paper]

35. Karlis D. and Ntzoufras I. (2005). Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R. Journal of Statistical Software, Volume 14, Issue 10. [Download paper].

36. Ntzoufras, I. , Katsis, A. and Karlis, D. (2005), Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC. North American Actuarial Journal, 9, 90-108.

37. Kateri M., Nicolaou A.and Ntzoufras I. (2005). Bayesian Inference for the RC(m) Association Model. Journal of Computational and Graphical Statistics, 14, 116-138. 

38. Karlis, D. and Ntzoufras, I. (2003), Analysis of Sports Data Using Bivariate Poisson Models,  Journal of the Royal Statistical Association, D [Statistician], 52, 381-393.

39. Ntzoufras, I., Dellaportas, P. and Forster, J.J. (2003). Bayesian Variable and Link Determination for Generalised Linear Models. Journal of Statistical Planning and Inference, 111, 165-180.

40. Ntzoufras, I. (2002). Gibbs Variable Selection Using BUGS. Journal of Statistical Software, Volume 7, Issue 7.  [Download associated Bugs files here]

41. Ntzoufras, I. and Dellaportas, P. (2002). Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty (with discussion).  North American Actuarial Journal,  6, 113-128. Also available the correct Table 3. 

42. Dellaportas, P., Forster, J.J. and Ntzoufras, I. (2001). On Bayesian Model and Variable Selection Using MCMC. Statistics and Computing, 12, 27-36. 

43. Ntzoufras, I., Forster, J.J. and Dellaportas, P. (2000). Stochastic Search Variable Selection for Log-linear Models. Journal of Statistical Computation and Simulation, 68, 23-38.

                                Other Fields

Refereed Publications in Books/Volumes

1. Manasis, V., Avgerinou, V. and Ntzoufras, I. (2010). A New Approach for the Measurement of Seasonal Competitive Balance. In European sports models - similarities and differences in international comparative perspective, Emrich E., Pierdzioch C., Büch P.-M. (eds.) in collaboration with Bischoff F., Series of Sports Economics, Volume 13, Hofmann-Verlag GmbH & Co, Germany. [pdf available here, version: 30/06/2010]

2. Ntzoufras, I. (2010). Bayesian Analysis of the Normal Regression Model. In Rethinking Risk Measurement and Reporting: Uncertainty, Bayesian Analysis and Expert Judgement  (K. Böcker, ed.). Risk Books ISBN-10: 1-906348-40-5, ISBN-13:  978-1-906348-40-3, pp. 69-106.

3. Dellaportas, P., Forster, J.J. and Ntzoufras, I. (2000). Bayesian Variable Selection Using the Gibbs Sampler. Generalized Linear Models: A Bayesian Perspective  (D. K. Dey, S. Ghosh, and  B. Mallick, eds.).  New York: Marcel Dekker, 271 – 286. Download [Download associated Bugs files here].

4. Ntzoufras, I. (1999). Discussion on `Bayesian Model Averaging and Model Search Strategies', Bayesian Statistics 6, (J. M. Bernardo, J. O. Berger, A. P. Dawid and  A. F. M. Smith, eds.). Oxford: University Press, 178-179.  Download

 Publications in Conference Proceedings

1. Ntzoufras, I. and Katsis, A. (2004).  Bayesian Comparison of Discrete Distributions Using MCMC. Proceedings of the Greek Statistical Institute, 17, (to appear).

2. Ntzoufras, I., Katsis, A. and Karlis, D. (2003). A Bayesian Statistical Modelling Approach for the Distribution of Insurance Claim Counts. Proceedings of the International Conference of Computational Methods in Sciences and Engineering, 2003, 470 - 473.

3. Ntzoufras, I. and Karlis, D. (2003).  Bayesian Tests for Poisson Difference Data. Proceedings of the Greek Statistical Institute, 16, (to appear).

4. Karlis, D. and Ntzoufras, I. (2003).  Bayesian and Non-Bayesian Analysis of Soccer Data Using Bivariate Poisson Regression Models. Proceedings of the Greek Statistical Institute, 16, (to appear).

5. Ntzoufras, I., Dellaportas, I. and Forster, J.J. (2003).  On Prior Distributions for Bayesian Model Selection. Proceedings of the Greek Statistical Institute, 15, vol.B, 760-767.

6. Kateri, M., Nicolaou, A. and Ntzoufras, I. (2003).  Evaluation of the fit of the RC(M) Association Model: A Bayesian Perspective.  Proceedings of the Greek Statistical Institute, 15, vol.B, 723-730 .

7. Ntzoufras, I. (2002).  Bayesian Model and Variable Selection Using MCMC: Applications  in Medicine. Proceedings of the Greek Statistical Institute, 14, 631-638.

8. Ntzoufras, I. and Dellaportas, P. (2002).  Bayesian Modelling for the Prediction of Outstanding Automobile Claim Counts.  Proceedings of the Greek Statistical Institute, 14,  639-646.

9. Ntzoufras, I., Dellaportas, P. and Forster, J.J. (1999). Specification and Interpretation of Prior Distributions for Variable Selection in Linear Models. Proceedings of the Fourth Hellenic-European Conference on Computer Mathematics and its Applications (E.A.Lipitakis, eds.), Athens: LEA , 451-458. Download

10. Karlis, D. and Ntzoufras, I. (1999). Statistical Modelling for Soccer Games: The Greek League. Proceedings of the Fourth Hellenic-European Conference on Computer Mathematics and its Applications (E.A.Lipitakis, eds.), Athens: LEA, 541-548. Download

11. Ntzoufras, I., Dellaportas, P. and Forster, J.J. (1996). A Comparison of Markov Chain Monte Carlo Methods for Log-Linear Model Selection. Proceedings of the Third Hellenic-European Conference on Mathematics and Informatics, (E.A.Lipitakis, eds.), Athens: LEA, 506-514.

Phd Thesis

•  Ntzoufras, I., (1999) `Aspects of Bayesian Model and Variable Selection Using MCMC',  Dep. of Statistics, Athens University of Economics and Business. Download zipped or unzipped.

All Contents Copyright.
Last revised: 6-9-2001