Ioannis
Ntzoufras
Publications Page
Textbooks and Monographs
|
|
Ntzoufras,
Wiley Series in Computational Statistics,
Hoboken, USA. |
|
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Field A., Miles J. & Field (2019). Επιμέλεια
Έκδοσης στα
Ελληνικά: Ι. Ντζούφρας
Ανακαλύπτοντας
τη Στατιστική
με τη Χρήση της R (Discovering Statistics with R). Εκδόσεις Προπομπός. Link
to the English version |
|
|
Ντζούφρας,
Ι. & Καρλής, Δ. (2015). Εισαγωγή
στον
προγραμματισμό
και στη
στατιστική
ανάλυση με R.
[ηλεκτρ. βιβλ.] Αθήνα:
Σύνδεσμος
Ελληνικών
Ακαδημαϊκών
Βιβλιοθηκών. Διαθέσιμο
στο: http://hdl.handle.net/11419/2601 |
Refereed Publications in
Journals
The
following list is arranged by five major topic categories.
Publications
list by year here
|
|
Topics: |
Publications on Statistical and
Probabilistic Machine Learning Methodology
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. 
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.
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.
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.
Papastamoulis, P. and Ntzoufras, I. (2022). On the identifiability of
Bayesian factor analytic models. Statistics and Computing, 32(23).
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.
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.
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.
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.
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.
Fouskakis,
D., Ntzoufras, I. (2020). Bayesian
Model Averaging Using Power-Expected-Posterior Priors. Econometrics,
8, issue 17.
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.
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.
Perrakis, K. and Ntzoufras I. (2018). Bayesian
Variable Selection using the hyper-g prior in WinBUGS. WIREs
Computational Statistics, Volume
10, Issue 6,
e1442.
Perrakis, K., Fouskakis, D., and Ntzoufras I. (2018). Power-Expected-Posterior
Priors for Generalized Linear Models. Bayesian Analysis, 13, 721–748.
Consonni G., Fouskakis D., Liseo B., and Ntzoufras I.
(2018). Prior
Distributions for Objective Bayesian Analysis. Bayesian
Analysis, 13, 627–679.
Charitidou, E.,
Fouskakis, D. and Ntzoufras, I.
(2018). Objective
Bayesian transformation and variable selection using default Bayes factors.
Statistics and Computing 28, 579-594.
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.
Fouskakis, D. and Ntzoufras, I. (2017). Information
consistency of the Jeffreys power-expected-posterior prior in Gaussian linear
models. Metron, 75, 371-380.
Vitoratou,
S. and Ntzoufras, I. (2016). Thermodynamic
assessment of probability distribution divergencies and Bayesian model
comparison. Statistics and Computing 27, 1165-1180.
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.
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.
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.
Perrakis, K. and Ntzoufras, I. (2015). Stochastic Search Variable
Selection (SSVS). Wiley StatsRef:
Statistics Reference Online.
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.
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].
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.
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.
Mavridis, D.
and Ntzoufras I. (2014). Stochastic
Search Item Selection for Factor Analytic Models. British Journal of Mathematical and Statistical Psychology, 67, 284–303.
Tarantola, C.,
Ntzoufras, I. and Lupareli M. (2013). Graphical marginal log-linear
graphical models – Bayesian perspective, Sociological Methodology, 43, 109-113.
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.
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.
Lykou, A. and Ntzoufras, I (2013). On
Bayesian Lasso Variable Selection and the Specification of the Shrinkage
Parameter. Statistics
and Computing, 23, 361–390.
Dellaportas P., Forster J.J. and Ntzoufras I.
(2012). Joint Specification of Model Space and
Parameter Space Prior Distributions. Statistical Science, 27, 232-246.
Lykou, A. and Ntzoufras, I (2011). WinBUGS:
A Tutorial, WIREs Computational Statistic (invited). 3,
385–396. [Download winbugs files here]
Iliopoulos,
G., Kateri, M. and Ntzoufras, I. (2009). Bayesian Model Comparison for the
Order Restricted RC Association Model Psychometrika, 74, 561–587.
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.
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.
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.
Iliopoulos G. , Kateri M. and
Karlis D. and Ntzoufras I. (2006). Bayesian
analysis of the differences of count data. Statistics in Medicine 25,
1885-1905.
Iliopoulos G., Karlis D. and
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].
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.
Karlis, D. and Ntzoufras,
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].
Ntzoufras,
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]
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.
Sports Analytics (Modeling and
Competitive Balance Indices)
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. 
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.
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.
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.
Karlis D., Ntzoufras I., Repoussis P. (2021). Mathematics
meet sports, IMA Journal of Management Mathematics, 32,
381–383.
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.
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.
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.
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.
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.
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.
Karlis, D.
and Ntzoufras, I. (2011). Robust fitting of
football prediction models. IMA Journal of Management Mathematics,
22, 171-182.
Karlis, D. and Ntzoufras, I. (2009). Bayesian
modelling of football outcomes (using the Skellam's
distribution),
IMA Journal of Management Mathematics, 20, 133-146.
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.
[Download paper via Jstor web-site].
Karlis, D. and Ntzoufras, I. (2000). On
modelling Soccer Data., Student, 3, 229-244.
Statistical Methods in Actuarial Science
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.
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.
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].
Psychometrics and Psychiatric Research
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.
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.
Mavridis, D. and Ntzoufras I. (2014). Stochastic Search Item Selection for Factor Analytic Models. British Journal of Mathematical and Statistical Psychology, 67, 284–303.
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.
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.
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.
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.
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.
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.
Refereed Publications in Books/Volumes
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.
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.
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
associated Bugs files here].
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.
Publications in Conference Proceedings
Drikos and I. Ntzoufras (2015). Skills Importance across Ages for Men’s Volleyball.
Proceedings of the 5th International Conference
on Mathematics in Sport, p. 24–31.
Perrakis, Κ., Fouskakis, D. &
Ntzoufras, I. (2015). Bayesian Variable Selection for Generalized Linear Models
Using the Power-Conditional-Expected-Posterior Prior. Bayesian Statistics from Methods to Models and Applications 126,
Frühwirth-Schnatter, S., Bitto, A.,
Kastner, G. & Posekany, A. (eds.), Springer Proceedings in
Mathematics & Statistics, Springer International Publishing, pp. 59–73.
Charitidou, E., Fouskakis, D., Ntzoufras, I. (2014). On Bayesian transformation selection: Problem formulation and
preliminary results. The Contribution of Young Researchers to
Bayesian Statistics: Proceedings of BAYSM2013, Lanzarone E. and Ieva F.
(eds.), Springer Proceedings in Mathematics and Statistics, 63, 11–14;
ISBN: 978-3-319-02083-9.
Tarantola, C.
and Ntzoufras, I. (2014). Bayesian Analysis of Discrete Bi-directed Graphical Models via Augmented
DAG Representation. Advances in Latent
Variables (Proceedings of the conference Advances in Latent Variables -
Methods, Models and Applications), Brentari E., Carpita
M., Vita e Pensiero (eds.), Springer; also available at http://meetings.sis-statistica.org/index.php/sis2013/ALV/schedConf/presentations.
Tarantola, C.
and Ntzoufras, I. (2009). Bayesian Analysis Of D-Decomposable Bidirected Graphical Models For
Discrete Data. Complex Data Modeling and Computationally Intensive Statistical Methods
for Estimation and Prediction (S.Co.2009); http://www2.mate.polimi.it/convegni/viewabstract.php?id=104&cf=7.
Ελευθεράκη,
Α., Κατέρη,
Μ. και Ντζούφρας,
Ι. (2006). Μπεϋζιανή
Ανάλυση
Συσχετισμένων 2×2
Πινάκων
Συνάφειας. Πρακτικά 19ου
Πανελληνίου
Συνεδρίου
Στατιστικής, 213 –
220.
Ntzoufras, I. and Katsis, A. (2004). Bayesian Comparison of Discrete Distributions Using
MCMC. Proceedings of the Greek Statistical Institute, 17, 543-550.
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.
Ntzoufras, I. and Karlis, D. (2003). Bayesian
Tests for Poisson Difference Data. Proceedings of the Greek
Statistical Institute, 16.
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.
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.
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 .
Ntzoufras, I. (2002). Bayesian Model and
Variable Selection Using MCMC: Applications in Medicine. Proceedings
of the Greek Statistical Institute, 14, 631-638.
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.
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.
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.
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
pdf .
All Contents Copyright.
Last revised: 31 July 2023