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Ioannis Ntzoufras

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Refereed Publications in Journals by year

The following list of publications is arranged according to reverse chronological order (latest publications appear first).

Publication list by topic here.

 

 

Years:

2023

2022

2021

2020

2019 or earlier

                               2023

1.      Staerk, C., Kateri, M. and Ntzoufras, I. (2023). A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection. Bayesian Analysis; accepted for publication (13 Dec 2022). Advance Publication: DOI: 10.1214/22-BA1351. new2

2.     Tzai L, Ntzoufras I., Vassalos V. and Dimitriou S. (2023). Predictions of European basketball match results with machine learning algorithms. Journal of Sports Analytics, 9(2), 171-190; DOI: 10.3233/JSA-220639.  new2

3.     Basini F. Tsouli, V., Ntzoufras I. and Friel N. (2023). Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model, Journal of the Royal Statistical Society Series A: Statistics in Society, 186(3), 530–55. new2

4.     Charamis E, Marmarinos C, Ntzoufras I. (2023). Estimating team possessions in high-level European basketball competition. International Journal of Sports Science & Coaching. 18(1) 220–230; doi:10.1177/17479541211070788. 

2022 

 

5.     Tzoumerkas G., Fouskakis D. and Ntzoufras I. (2022), Comparison of Power–Expected–Posterior Priors in Shrinkage Regression, Journal of Statistical Theory and Practice, 16, Article number 61.

6.     Kondakis M., Demiris N., Ntzoufras I. and Papanikolaou N.E. (2022). Inference and model determination for Temperature-Driven non-linear Ecological Models. Environmental and Ecological Statistics, 29, 509–555. 

7.     Papastamoulis, P. and Ntzoufras, I. (2022).  On the identifiability of Bayesian factor analytic models. Statistics and Computing, 32(23).

8.     Marsman, M., Huth, K., Waldorp, L. J. & Ntzoufras, I. (2022). Objective Bayesian edge screening and structure selection for networks of binary variables. Psychometrika 87, 47–82.

9.     Manasis V., Ntzoufras I., Reade J.J. (2022). Competitive balance measures and the uncertainty of outcome hypothesis in European football, IMA Journal of Management Mathematics, 33, 19 – 52.

10. Fouskakis D. and Ntzoufras I. (2022). Power-Expected-Posterior Priors as Mixtures of g-Priors in Normal Linear Models, Bayesian Analysis, 17(4), 1073-1099; DOI: 10.1214/21-BA1288.

2021

11. Karlis D., Ntzoufras I., Repoussis P. (2021). Mathematics meet sports, IMA Journal of Management Mathematics, 32, 381–383.

12. Ntzoufras I, Palaskas V. and Drikos S. (2021).  Bayesian Models for Prediction of the Set-Difference in Volleyball. IMA Journal of Management Mathematics, 32, 491–518.

13. Staerk, C., Kateri, M. and Ntzoufras, I. (2021). High-dimensional variable selection via low-dimensional adaptive learning. Electronic Journal of Statistics, 15, no. 1, 830–879.

2020

14.   Egidi, L., Ntzoufras, I. (2020). A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games. Journal of the Royal Statistical Society C (Applied Statistics), 69, 1307-1336.

15.   Fouskakis, D., Ntzoufras, I. (2020). Bayesian Model Averaging Using Power-Expected-Posterior Priors. Econometrics, 8, issue 17.

16.   Fouskakis D., Ntzoufras I. & Perrakis K. (2020). Variations of Power-Expected-Posterior Priors in Normal Regression Models, Computational Statistics and Data Analysis, 143, Article 106836; Arxiv: https://arxiv.org/abs/1609.06926.

2019

17.   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.

18.   Drikos, S., Ntzoufras, I., and Apostolidis, N. (2019). Bayesian Analysis of Skills Importance in World Champions Men’s Volleyball across Ages. International Journal of Computer Science in Sport, 18, 24–44.

2018

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

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

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

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

2017 and earlier

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

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

25.   Vitoratou, S. and Ntzoufras, I. (2016). Thermodynamic assessment of probability distribution divergencies and Bayesian model comparison. Statistics and Computing 27, 1165-1180.

26.   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.

27.   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.  

28.   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.

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

30.   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.

31.   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].

32.    Vitoratou, S., I. Ntzoufras, C. Theleritis, N. Smyrnis, N.C. Stefanis (2015). Temperament and character dimensions assessed in general population, in individuals with psychoactive substance dependence and in young male conscripts. European Psychiatry,, 30, 474–479.

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

34.   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.

35.   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.

36.   Manasis, V. and Ntzoufras, I. (2014). Between-seasons Competitive Balance in European Football: Review of Existing and Development of Specially Designed Indices. Journal of Quantitative Analysis of Sports,  10, 139–152.

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

38.   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.

39.   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.

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

41.   Manasis, V., Avgerinou, V., Ntzoufras, I. and Reade, J. (2013). Quantification of competitive balance in European football; Development of specially designed indices.IMA Journal of Management Mathematics, 24 (3), 363--375.

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

43.   Tarantola C., Vicard P. and Ntzoufras I. (2012). Monitoring and Improving Greek Banking Services Using Bayesian Networks: an Analysis of Mystery Shopping Data. Expert Systems with Applications, 39, 10103–10111.

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

45.    Manasis, V., Avgerinou, V., Ntzoufras, I. and Reade, J.J., (2011). Measurement of competitive balance in professional team sports using the Normalized Concentration Ratio. Economics Bulletin, 31, 2529–2540.

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

47.   Tseloni, A., Ntzoufras, I., Nicolaou, A. and Pease, K. (2010). Concentration of personal and household crimes in England and Wales.European Journal of Applied Mathematics, 21, 325–348.

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

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

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

51.  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, 3, 663-690.

52.  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.

53.    Vitoratou S., Ntzoufras I., Smyrnis N. and Stefanis N.C. (2009). Factorial composition of the Aggression Questionnaire: a multi sample study in Greek adults. Psychiatry Research, 168(1), 32-39.

54.    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.

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

56.  Stefanis N.C., Vitoratou S., Smyrnis N., Constantinidis T., Evdokimidis I., Hatzimanolis I., Ntzoufras I. and Stefanis C. (2006). Mixed handedness is associated with the Disorganization dimension of schizotypy in a young male population. Schizophrenia research, 87, 289-296.

57.  Stefanis, N.C. , Vitoratou, S., Ntzoufras, I., Smyrnis, N., Evdokimidis, I., Stefanis, C.N. (2006). Psychometric properties of the Greek version of the Schizotypal Personality Questionnaire (SPQ) in young male obligatory conscripts: A two years test–retest study. Personality and Individual Differences,  41, 1275–1286.

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

59.  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].

60.  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.

61.  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.

62.  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.

63.  Stefanis, N.C., Smyrnis N., Avramopoulos, D., Evdokimidis, D., Ntzoufras, I., and Stefanis C.N. (2004). Factorial Composition of Self Rated Schizotypal Traits Amongst Young Males Undergoing Military Training: The ASPIS. Shizophrenia Bulletin, 30, 335-350.

64.  Karlis, D. and Ntzoufras, I. (2003), Analysis of Sports Data Using Bivariate Poisson ModelsJournal of the Royal Statistical Association, D [Statistician], 52, 381-393. [Download paper via Jstor  web-site].

65.  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. [Download paper via science direct].

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

67.  Dellaportas, P., Forster, J.J. and Ntzoufras, I. (2002). On Bayesian Model and Variable Selection Using MCMC. Statistics and Computing, 12, 27-36. [Download paper via Kluwer On line] 

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

69.  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.

70.  Karlis, D. and Ntzoufras, I. (2000). On modelling Soccer Data., Student, 3, 229-244.



           
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Last revised on  31 July 2023