Textbooks and Monographs
|
Ntzoufras, Wiley Series in Computational Statistics,
Hoboken, USA. |
|
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 topics categories. If you wish you can
change to the publications list by year here
|
Topics: |
Publications on Statistical and
Probabilistic Machine Learning Methodology
Tzoumerkas G., Fouskakis D. and Ntzoufras I. (2022), Comparison of
Power–Expected–Posterior Priors in Shrinkage Regression, Journal of
Statistical Theory and Practice (to appear).
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. (2021). Power-Expected-Posterior
Priors as Mixtures of g-Priors in Normal Linear Models, Bayesian
Analysis, Advance Publication (to appear); DOI: 10.1214/21-BA1288.
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.
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)
Charamis E, Marmarinos C, Ntzoufras I. (2022). Estimating
team possessions in high-level European basketball competition. International
Journal of Sports Science & Coaching. (to appear).
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 .
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Last revised: 24 August 2022