Publications

2022

  1. 15.  Beki, E. and Ntotsis, K. The Utilization of Partial Least Squares for 2 Simultaneous Feature Selection and Extraction, (under review RevStat), 2022.
  2.  
  3. 14.  Meselidis, C. and Karagrigoriou, A. (2022). Contingency Table Analysis and Inference via Double Index Measures, Entropy, 24, 477, https://doi.org/10.3390/e24040477
  4.  
  5. 13.  Καραγρηγορίου, Α. Στατιστική Επιστήμη: Οι προκλήσεις πέρα από τα όρια της γνώσης (in Greek), ΥΔΕΑ, ΕΛΚΕ, Τεύχος 5, σελ. 4-5, 2022. https://www.ru.aegean.gr/elke_website/research/aegean_magazine
  6.  
  7. 12.  Parpoula C. A distribution-free control charting technique based on change-point analysis for detection of epidemics. Statistical Methods in Medical Research. 2022;31(6):1067-1084.
  8.  
  9. 11.  Makridis, A.  Statistical Inference for Multi State Systems under the Generalized Modified Weibull Class, J . Reliability and Stat. Stud. , 15 (2), 411-430, 2022. https://www.journal.riverpublishers.com/index.php/JRSS/
  10.  
  11. 10.  Barbu VS, D’Amico G, Makrides A. A Continuous-Time Semi-Markov System Governed by Stepwise Transitions. Mathematics. 2022; 10(15):2745. https://doi.org/10.3390/math10152745
  12.  
  13. 9.  Makris, K., Karagrigoriou, A., and Vonta, I. (2022). On Dimensionless Dissimilarity Measures for Time Series, In Computational Intelligence-based Time Series Analysis, D.C.S Bisht & M. Ram eds., River Publishers, Denmark, ISBN: 9788770224178, 1-17.
  14.  
  15. 8.  Barbu VS, D’Amico G, Gkelsinis T. Sequential Interval Reliability for Discrete-Time Homogeneous Semi-Markov Repairable Systems. Mathematics. 2021; 9(16):1997. https://doi.org/10.3390/math9161997
  16.  
  17. 7.  Meselidis C., Karagrigoriou A. and Papaioannou, T. Data Analysis based on Entropies and Measures. In Data Analysis and Related Applications: Theory and Practice Vol. 2, ed. Zafeiris K. et al., iSTE Wiley 237 – 257, 2022.
  18.  
  19. 6.  Karagrigoriou A., Mavrogiannis I., Papasotiriou G. and Vonta I. Detecting Exponentiality via the Catastrophe and Conspiracy Principles (2022, submitted).
  20.  
  21. 5.  Loukissas F. and Karagrigoriou A. Uniform Asymptotic Probability for Multi Renewal Risk Model with Strong Subexponential Tailed Claims. Journal of Mathematical, Engineering and Management Science, Vol. 7, 153-166, 2022.
  22.  
  23. 4.  Parpoula Ch. and Karagrigoriou A. A Recursive Optimization Algorithm for Multiple Change-Point Detection and Inference, J of Stat Simul and Comput (2022, to appear).
  24.  
  25. 3.  Kroustalli Ch., Karagrigoriou A. and Makrides A. Stochastic Processes & Reliability Analysis: Theoretical Issues & Applications, Mathematics in Engineering Science and Aerospace, 13(3), 1-18, 2022..
  26.  
  27. 2.  Kalligeris E.-N. and Makrides A. Statistical Process Monitoring Techniques for COVID-19. In Data Analysis and Related Applications: Theory and Practice Vol. 2, ed. Zafeiris, K. et al., iSTE Wiley 211 – 221, 2022.
  28.  
  29. 1.  Gkelsinis T., Karagrigoriou A. and Barbu V. Statistical Inference Based on Weighted Divergence Measures with Simulations and Applications. Statistical Papers 125, 2022. DOI: https://doi.org/10.1007/s00362-022-01286-zC

2021

  1. 12.  Wu S., Castagliola P., Rakitzis A.C. and Maravelakis P.E. Design of Attribute EWMA Type Control Charts with Reliable Run Length Performance. Communications in Statistics: Simulation and Computation (2021, accepted).
  2. DOI: 10.1080/03610918.2021.1955263.
  3.  
  4. 11.  Chakraborti S. and Rakitzis A.C. Control Charts, Synthetic. In Wiley StatsRef: Statistics Reference Online, ed. Balakrishnan, N. et al., 2021.
  5. https://doi.org/10.1002/9781118445112.stat08340
  6.  
  7. 10.  Anastasopoulou M. and Rakitzis A.C. Monitoring a BAR(1) Process with EWMA and DEWMA Control Charts. In Control Charts and Machine Learning for Anomaly Detection in Manufacturing, ed. Tran K.P., Springer, New York, NY, 77-103, 2021.
  8.  
  9. 9.  Giannouli P., Karagrigoriou A., Kountzakis C.E. and Ntotsis K. Multilevel Dimension Reduction for Credit Scoring Modelling and Prediction: Empirical Evidence for Greece. Communications in Statistics: Case Studies – Data Analysis and Applications, 2021.
  10. DOI: 10.1080/23737484.2021.1936690. Supplementary material
  11.  
  12. 8.  Anastasiou A., Hatzopoulos P., Karagrigoriou A. and Mavridoglou G. Causality Distance Measures for Multivariate Time Series with Applications, Mathematics, 9(21), 2708, 2021.
  13. Supplementary material APPENDICES A & B
  14.  
  15. 7.  Ntotsis K., Karagrigoriou A. and Artemiou A. Interdependency Pattern Recognition in Econometrics: A Penalized Regularization Antidote. Econometrics, 9(4), 44, 2021.
  16. https://doi.org/10.3390/econometrics9040044
  17.  
  18. 6.  Koukoumis C. and Karagrigoriou A. On Entropy-Type Measures and Divergences with Applications in Engineering, Management and Applied Sciences. Journal of Mathematical, Engineering and Management Science, 6(3), 688-707, 2021.
  19.  
  20. 5.  Makris K., Vonta I. and Karagrigoriou A. On Similarity Measures for Stochastic and Statistical Modelling. Mathematics, 9(8), 840, 2021.
  21. https://doi.org/10.3390/math9080840.
  22.  
  23. 4. Kalligeris E.-N., Karagrigoriou A. and Parpoula Ch. An Advanced Markov Switching Approach for the Modelling of Consultation Rate Data. Engineering Proceedings,  5(2), 2021.
  24. https://doi.org/10.3390/engproc2021005002 .
  25.  
  26. 3.  Barbu V.S., Karagrigoriou A. and Makrides A. Semi-Markov Processes for Earthquake Forecast. In Statistical Methods and Modeling of Seismogenesis, ed. Limnios N. et al., iSTE WILEY, 299-308, 2021.
  27. Click to view
  28.  
  29. 2.  Makris K., Karagrigoriou A. and Vonta I. On Divergence and Dissimilarity Measures for Multiple Time Series. In Applied Modelling Techniques and Data Analysis, Dimotikalis I. et al., iSTE WILEY, 249-260, 2021.
  30. Click to view
  31.  
  32. 1.  Karagrigoriou A., Papasotiriou G. and Vonta I. Goodness of Fit Exponentiality Test Against Light and Heavy Tail Alternatives. In Statistical Modeling of Reliability Structures and Industrial Processes, ed. Ram M. and Triantafyllou I., CRC Press/Taylor and Francis, Boca Raton, FL, USA (2021, to appear).

2020

  1. 13.  Ntotsis K., Kalligeris E.-N. and Karagrigoriou A. A Comparative Study of Multivariate Analysis Techniques for Highly Correlated Variable Identification and Management. Journal of Mathematical, Engineering and Management Science, 5(1), 45-55, 2020.
  2. Click here to download
  3.  
  4. 12.  Ntotsis K. and Karagrigoriou A. (2021). The Impact of Multicollinearity on Big Data Multivariate Analysis Modeling. In Applied Modeling Techniques and Data Analysis, ed. Dimotikalis, I. et al., iSTE-Wiley, 187-200.
  5. Click to view
  6.  
  7. 11.  Karagrigoriou A. and Meselidis C. Inferential Statistics based on Measures of Information and Divergence. In Statistical Topics and Stochastic Models for Dependent Data-Applications in Reliability, Survival Analysis and Related Fields, ed. Barbu V.S. and Vergne N., iSTE-Wiley, 215-234, 2020.
  8. ISBN 978-1-78630-603-6 Click to view
  9.  
  10. 10.  Parpoula C. and Karagrigoriou A. On Change-point Analysis-based Distribution-free Control Charts with Phase I Applications. In Distribution-free Methods for Statistical Process Monitoring and Control, ed. Koutras M.V. and Triantafillou I.S., Springer, 2020.
  11. eBook ISBN 978-3-030-25081-2, Hardcover ISBN 978-3-030-25080-5, doi 10.1007/978-3-030-25081-2, 157-182.
  12.  
  13. 9.  Barbu V.S., Karagrigoriou A. and Makrides A. Modelling and Inference for Special Types of semi-Markov Processes. In Stochastic Models in Reliability Engineering, ed. Cui L. et al., CRC Press, 113-124, 2020.
  14. Click to view
  15.  
  16. 8.  Gkelsinis T. and Karagrigoriou A. Theoretical Aspects on Measures of Directed Information with Simulations. Mathematics, 8(5), 587, 2020.
  17. doi:10.3390/math8040587.
  18.  
  19. 7.  Barbu V.S, Karagrigoriou A. and Makrides A. Statistical Inference for a General Class of Distributions with Time-Varying Parameters. Journal of Applied Statistics, 47(13-15), 2354-2373, 2020.
  20. Click to view
  21.  
  22. 6.  Ntotsis K., Papamichail M., Hatzopoulos P. and Karagrigoriou A. On the Multivariate Modeling of Pension Benefits, The European Actuary, No. 23, 14 – 19 2020.
  23. Click here to download
  24.  
  25. 5.  Meselidis C. and Karagrigoriou, A. Statistical Inference in Multinomial Populations Based on the (Φ,α)-Power Divergence Family. Journal of Statistical Computation and Simulation, 90(10), 1773-1792, 2020.
  26. Click here to download Supplementary Material
  27.  
  28. 4.  Toma A., Karagrigoriou A. and Trentou P. Robust Model Selection Criteria Based on Pseudodistances. Entropy, 22(3), 304, 2020.
  29.  
  30. 3.  Zimeras S. and Kalligeris E.-N. Clustering Techniques for Categorical Data: Correspondence Analysis. In Interdisciplinary Perspectives on Operations Management and Service Evaluation, ed. Manolitzas P. et al., IGI Global, 76-93, 2020.
  31. Click here to download
  32.  
  33. 2.  Ntotsis K., Papamichail M., Hatzopoulos P. and Karagrigoriou A. On the Modeling of Pension Expenditures in Europe. Communications in Statistics: Case Studies-Data Analysis and Applications, 6(1), 50-68, 2020.
  34. https://doi.org/10.1080/23737484.2019.1690598. Supplementary material. Click to view
  35.  
  36. 1.  Anastasiou A., Karagrigoriou A. and Katsileros A. Comparative Evaluation of Goodness of Fit Tests for Normal Distribution Using Simulation and Empirical Data. Biometrical Letters, 57(2), 237-251, 2020.
  37. Click to download
  38.  

2019

  1. 15.  Karagrigoriou A., Makrides A. and Vonta I. On a Control Chart for the Gini Index with Simulations. Communications in Statistics: Simulation and Computation, 48(4), 1121-1137, 2019.
  2. doi. 10.1080/03610918.2017.1406510.
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  4. 14.  Siouris G.-J., Skilogianni D. and Karagrigoriou A. Post Model Correction in Risk Analysis and Management. International Journal of Mathematical, Engineering and Management Sciences, 4(3), 542-566, 2019.
  5. https://dx.doi.org/10.33889/IJMEMS.2019.4.3-044.
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  7. 13.  Kalligeris E.-N., Karagrigoriou A. and Parpoula Ch. On Mixed PARMA Modeling of Epidemiological Time Series Data, Communications in Statistics: Case Studies-Data Analysis and Applications, 6(1), 36-49, 2019.
  8. doi: 10.1080/23737484.2019.1644253.
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  10. 12.  Siouris G.-E., Skilogianni D. and Karagrigoriou A. Adjusted Evaluation Measures for Asymmetrically Important Data. Econometric Research in Finance, 4 (1), 41-66, 2019.
  11. https://doi.org/10.33119/ERFIN.2019.4.1.3.
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  13. 11.  Kalligeris E.-N., Karagrigoriou A. and Parpoula Ch. Periodic–type ARMA Modeling with Covariates for Time-Series Incidence Data via Changepoint Detection. Statistical Methods In Medical Research, 29(6), 1039-1049, 2019.
  14. https://doi.org/10.1177/0962280219871587
  15.  
  16. 10.  Barbu V., Karagrigoriou A. and Makrides A. Estimation and Reliability for a Special Type of Semi-Markov Process. Journal of Mathematics and Statistics, 15(1), 259-272, 2019.
  17. https://thescipub.com/pdf/10.3844/jmssp.2019.259.272
  18.  
  19. 9.  Mantalos P., Karagrigoriou A., Strelec L., Jordanova P., Hermann P., Kiselak J., Hudak J. and Stehlik M. On improved volatility modelling by fitting Skewness in ARCH models. Journal of Applied Statistics, 47(6), 1031-1063, 2019.
  20. doi 10.1080/02664763.2019.1671323
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  22. 8.  Kalligeris E.-N., Karagrigoriou A., Ladopoulos K. and Parpoula Ch. Adjusted Transformation Methods for Reproduction Quality Control. Journal of Mathematics and Statistics, 15(1), 273-279, 2019.
  23. Click here to download
  24.  
  25. 7.  Kalligeris E.-N., Karagrigoriou A., Lambrou A. and Parpoula Ch. Statistical Techniques and Stochastic Modeling in Public Health Surveillance Systems Engineering. In Recent Advances in Mathematics for Engineering, ed. Ram M., CRC Press- A Taylor & Francis Group, 1-19, 2019.
  26. ISBN 9780367190866, 
  27.  
  28. 6.  Anastasiou A., Hatzopoulos P., Karagrigoriou A. and Mavridoglou G. On Clustering Techniques for Multivariate Demographic Health Data. In Data Analysis and Applications: Computational, Classification, Financial, Statistical and Stochastic Methods, ed. Makrides A. et al., iSTE Wiley, 235-250, 2019.
  29.  
  30. 5.  Siouris G.-E., Skilogianni D. and Karagrigoriou A. Forecasting Methods in Extreme Scenarios and Advanced Data Analytics for Improved Risk Estimation. In Data Analysis and Applications: Computational, Classification, Financial, Statistical and Stochastic Methods, ed. Makrides A. et al., iSTE Wiley, 3-32, 2019.
  31.  
  32. 4.  Siouris G.-J., Skilogianni D. and Karagrigoriou A. Low Price Effect and Post Model Correction of Value at Risk. In Proceedings of the 31st Panhellenic Statistics Conference, Greek Statistical Institute, 337-352, 2019. 
  33.  
  34. 3.  Kalligeris E.-N., Karagrigoriou A., Lambrou A. and Parpoula Ch. A Comparative Study for the Use of Periodic Regression Models for Detection of Influenza Outbreaks. In Proceedings of the 31st Panhellenic Statistics Conference, Greek Statistical Institute, 292-301, 2019.
  35.  
  36. 2.  Parpoula Ch., Kalligeris E.-N., and Karagrigoriou A. A Comparative Study of Change-Point Analysis Techniques for Outbreak Detection. In Proceedings of the 21th European Young Statisticians Meetings, 85-89, 2019.
  37.  
  38. 1.  Makrides A., Karagrigoriou A. and Barbu V. Semi-Markov Processes in Reliability: Theory and Applications. In Proceedings of the 21th European Young Statisticians Meetings
  39. , 56-61, 2019.

2018

  1. 6.  Barbu V.S., Karagrigoriou A. and Preda V. Entropy and Divergence Rates for Markov Chains: III. The Cressie and Read Case and Applications. In Proceedings of the Romanian Academy, Series A, 19(3), 413–421, 2018.
  2.  
  3. 5.  Trentou P. and Karagrigoriou A. Graduates GPA Evaluation According to Academic and Socio-economic Criteria, Technical Report 1/2018. In Lab of Statistics and Data Analysis, University of the Aegean, 2018.
  4. Click here to download
  5.  
  6. 4.  Anastasiou A., Hatzopoulos P., Karagrigoriou A. and Mavridoglou, G. Clustering Multivariate Time-series Health Data, Technical Report 2/2018. Lab of Statistics and Data Analysis, University of the Aegean, 2018.
  7. Click here to download
  8.  
  9. 3.  Barbu V.S., Karagrigoriou A. and Makrides A. Statistical Inference for a General Class of Distributions with Time-varying Parameters. Preprint, 2018.
  10. Click here to download
  11.  
  12. 2.  Ntotsis K. Pension Expenditure Modeling: A Multifactor Risk Analysis. LabSTADA Application, 2018.
  13. download
  14.  
  15. 1.  Meselidis C. and Karagrigoriou A. (2019). Statistical inference for multinomial populations based on the (Φ,α)-power divergence family. Preprint, 2019 
  16. Supplementary Material

2017

  1. 3.  Siouris G.-J. and Karagrigoriou A. A Low Price Correction for Improved Volatility Estimation and Forecasting. Risks, 5(3), 45, 2017.
  2.   doi:10.3390/risks5030045.   Click here to download
  3.  
  4. 2.  Barbu V.S and Karagrigoriou A. Modeling and Inference for Multi-state Systems. In Recent Advances in Multi-state Systems Reliability, ed. Lisnianski, A., et al., Springer, 59-70, 2017.
  5. ISBN 978-3-319-63423-4.  Click here to move to Springer
  6.  
  7. 1.  Parpoula C., Karagrigoriou A. and Lambrou A. Epidemic Intelligence Statistical Modelling for Biosurveillance, J. Blomer, I.S. Kotsireas, T. Kutsia and D.E. Simos eds., MACIS2017, Lecture Notes in Computer Science 10693, Springer, 249-263.
  8. Click here to download