Edited Volumes

1. Karlis, D and Xekalaki, E. (2003). Mixtures everywhere. In Stochastic Musings, ed J. Panaretos, pp  78-95.
2. Brijs, K., Vanhoof, K., Brijs, T. and Karlis, D (2006) Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. In Modelling Decisions in Artificial Intelligence, Lecture Notes in  Computer Science (Artifical Intelligence), vol 3558, eds  Torra, Vicenç; Narukawa, Yasuo; Miyamoto, Sadaaki, pp 138-149, Springer-Verlag Berlin-Heidelberg.
3. Karlis, D. and Xekalaki, E. (2008)  The Polygonal Distribution, In. Mathematical and Statistical Modeling in Honor of Enrique Castillo Arnold, B. C., Balakrishnan, N, Minués, M and Sarabia,  J. M. (eds), Birkhauser: Boston, pp21-32  

Conference Proceedings
 

• Xekalaki E., Karlis D.(1995) Testing hypotheses in Poisson family distributions. Proceedings of the 51th World conference of the International Statistical Institute, pp 1301-1302, Behing, China, August 1995
• Xekalaki E., Karlis D., (1998) Conditions for zero values of the Likelihood Ratio Test when testing for a Poisson mixture, Proceedings of the Applied Statistical Modelling Conference, New Orleane, 396-403
• Karlis D., Xekalaki E (1998) An improvement of the EM algorithm for finite Poisson mixtures. Proceeding of HERCMA 98, Athens, 596-604
• Karlis D., Ntzoufras I. (1998) Statistical Modelling for Soccer Games. Proceedings of HERCMA 98, Athens, 541-548
• Karlis, D., Saporta, G., Spinakis, A. and Anastasiou, G. (2001) On a statistical package for non-expert users. Proceedings of the ETK-NTTS 2001 Conference, Crete, 18-22 June 2001, pp 903-905

• Yiokari, N., Xekalaki, E. and Karlis, D. (2001). “On Some Discrete-Valued Time Series Models Based on Mixtures and Thinning”, Proceeding of HERCMA 2001, Athens,  872-877

• Karlis, D. and Xekalaki, E. (2001).Maximum Likelihood Estimation For Integer Valued Time Series Models with an Environmental Application. Proceeding of HERCMA 2001, Athens,  778-783  

• Karlis, D. (2002) Models based on the Normal-Inverse Gaussian Distribution. Proceedings of the 17th International Workshop in Statistical Modelling, Chania, Crete, July 2002, pp 375-383.

• Karlis, D. and Meligkotsidou, L. (2003) Model Based Clustering for multivariate Count Data. Proceedings of the 18th International Workshop on Statistical Modelling,Leuven, Belgium, pp 375-382

• Brijs T., Karlis D., Van den Bossche F. and Wets G. (2003). A Bayesian Model for Ranking Hazardous Sites.  In: Proceedings of the 11th Symposium Statistical Software, organized by the Royal Dutch Academy of Sciences, November 6, Amsterdam, The Netherlands. pp 55-72. ISBN:90-8084-16-1-7.

• Karlis, D. and Tsiamyrtzis, P.(2004) Exact Bayesian inference for bivariate Poisson data.  Proceedings of the 19th International Workshop on Statistical Modelling, Firenze, July 2004, eds Biggeri et al., pp 435-439. (ISBN 88  -8453-193-4)

• Nikoloulopoulos, A.K. and Karlis, D. (2006) Modelling multivariate count data using copula functions. COMPSTAT 2006 - Electronic Proceedings in Computational Statistics 17th Symposium Held in Rome, Italy, 2006. Rizzi, Alfredo; Vichi, Maurizio (Eds.). ISBN: 3790817082.

• Karlis, D. Sermaidis, G. and Brijs, T. (2007)  Discrete valued time series models for examining weather effects in daily accident counts. Proceedings of the 22th International Workshop on Statistical Modelling, Barcelona, July 2007, eds De Castillo  et al., pp 368-373. (ISBN  978-84-690-5943-2)

• Pedeli, X. and Karlis, D. (2010) On composite likelihood estimation of a multivariate Poisson INAR(1) model. Proceedings of the 25th Workshop in statistical Modelling, July 2010, Glaskow, pp 429-432

  Other Conferences (presenter)

1. Karlis D., Xekalaki E (1999) Maximum Likelihood Estimation For The Poisson-Binomial Distribution Via The EM Algorithm With Environmental Applications. SESS- TIES Conference, Athens, August 1999
2. KarlisD. (2000) Exact ML estimation for Mixed Poisson Regression Models. Euroworkshop on Mixed Models, Munich, November 2000
3. Κarlis, D. (2001) The Normal-Inverse Gaussian Distribution and its application to financial data. Πανελλήνιο Συνέδριο Στατιστικής, Σκιάθος, Απρίλιος 2001.
4. Karlis, D., Xekalaki, E. (2001). On Choosing Iniital Values for the EM algorithm for Finite Poisson Mixtures. Mixtures 2001 Conference, Hamburg, Germany, July 2001.
5. Κarlis, D. (2002)  Model based clustering for count data. 15th Panhelenic Confenrence in Statistics , Ioannina,  May 2002.

6. Iliopoulos, G. and Karlis, D. (2002) Simulation from the Bessel distribution with applications.  15th Panhelenic Confenrence in Statistics , Ioannina,  May 2002.

7. Brijs, T., Karlis, D., Swinnen, G., Vanhoof, K., and Wets, G. (2002), Tuning the multivariate Poisson mixture model for clustering supermarket shoppers, at: Statistical Modelling and Inference for Complex Data Structures, poster paper, Louvain-La-Neuve, May 21-23.

8.  Karlis, D. (2002) Overdispersed Integer Valued Autoregressive Models.  COMPSTAT 2002, Berlin, August 2002.  

9. D. Karlis, I. Ntzoufras (2003) Bayesian and Non- Bayesian analysis of soccer data using bivariate Poisson regression models. 16th Panhelenic Confenrence in Statistics , Kavala,  April 2003.

10. I. Ntzoufras, D. Karlis,  (2003). Bayesian tests for Poisson difference data. 16th Panhelenic Confenrence in Statistics , Kavala,  April 2003.

11. Tsiamyrtzis, P. and Karlis, D. (2003).   Strategies for efficient computation of multivariate Poisson probabilities. Recent Advances in Statistical Designs and Related Combinatorics, Athens,  July 2003, conference in honor of Prof. St. Kounias.  

12. Karlis , D. and Tsiamyrtzis, P. (2004). Exact Bayesian Inference for Bivariate Poisson data. 2nd International Workshop in Applied Probability, Pireaus, Greece, March 2004.

13. Karlis, D. and Papadimitriou A. (2004) Inference for the multivariate Normal Inverse Gaussian model. 17th Panhelenic Confenrence in Statistics , Lefkada,  April 2004.  

14. Brijs T., Karlis D., Van den Bossche F. and Wets G. (2004). A Bayesian Model for Ranking Hazardous Sites.  CORS/INFORMS Joint International Meeting, Banff, Canada, 16-19 May 2004.

15. Nikoloulopoulos, A.K and Karlis, D. (2005) Modelling Bivariate Count Data Using Copula functions, 3rd EMR-IBS conference, Corfu, 10-12 May, 2005

16. Karlis, D. and Nikoloulopoulos, A.K. (2005). Modeling multivariate count data. 25th European Meeting of Statisticians, Oslo, 24-28 July,  2005

17. Karlis, D. and Patilea, V. (2005) Bootstrap confidence intervals for reliability measures for discrete distributions. 3^rd IASC Conference, Limassol, Cyprus, 28-31 October 2005

18. Karlis, D. (2006) Time series models for count data. Invited paper in TRB 2006, Washington DC, January 2006.

19. Nikoloulopoulos, A.K. and Karlis D. (2006). Modelling multivariate binary data using copulas. 19^th Panehellenic Conference in statistics, Kastoria, Greece, April 2006

20. Arakelian, V. and Karlis, D. (2006) Financial applications of flexible copula families based on mixing. 12th International Conference On  Computing In Economics And Finance  Limassol, Cyprus, June 22-24, 2006

21. Xekalaki, E. and Karlis, D. (2006) The Polygonal Distribution . International Conference on Mathematical and Statistical Modeling in Honor of Enrique Castillo  (ICMSM 2006)

22. Karlis, D. and Nikoloulopoulos, A.K. (2007) Copula Functions for Modelling Multivariate Binary Data, 4^th Eeastern Mediteranean Regions biometrics Conferences, Eilat, Israel, 22-25 January, 2007 ( Invited)

23. Karlis, D. and Arakelian, V. Mixtures of copulas and their applications in clustering.  German classification society Conference, (GFKL) Freiburg, 7-9 March.

24. Karlis, D. and Patilea, V. (2007). A sieve nonparametric maximum likelihood estimator in mixtures of discrete exponential families. German Classification society Conference, (GFKL) Freiburg, 7-9 March

25. Karlis, D. and Ntzoufras, I. (2007) Bayesian modeling of football outcomes.  IMA Conference on mathematics in sports, Macnshetser, June 2007.

26. Karlis, D. and Andersson, J. (2008)  Missing data for discrete valued time series. COMPSTAT 2008, Porto, Portugal, August 2008
27. Karlis, D. (2008) On modeling multivariate count data. NIPS, Workshop, December, 2008, Whistler Canada (invited)
28. Karlis, D. and Andersson, J. (2008) Missing Values in Discrete Valued Time Series Models, 4^th IASC Conference, Yokohama, Japan, December 2008
29. Pedeli, X. and Karlis, D. (2009) A Bivariate Integer Autoregressive Model. 5^th EMR-IBS conference, Instanbul, May 2009
30. Karlis, D and Ntzoufras, J. (2009) Robust fitting of football prediction models. 2nd Conference in Mathematics and Sports, Groningen, The Netherlands, June 2009

31. Karlis, D. and Andersson, J. (2009) Time series processes in Z: a ZINAR process. Workshop on Integer valued Time series, Aveiro, 3-5 Septmeber, 2009

32. Karlis, D, Arakelian, V. (2009) Clustering dependencies via mixture of copulas. 5^th ERCIM, Limassol, Cyprus, October, 2009

33. Karlis, D. (2010) Model Based Clustering using copulas. Workshop on Model Based Clustering, Grenoble, INRIA, July 2010

34. Karlis, D. (2010) Multivariate Integer Autoregressive Models. In 7^th Conference for Multivariate Distribution and Applications, Maresias, Sao Paolo, Brazil, August 2010

35. Karlis, D. and  Urania Dafni (2010)  Estimation of Survival Curves in the Case of “Time Varying Treatment”. Symposium in honor of Steve Lagakos, Athens, October 2010.
36. Karlis, D. (2011) Model based clustering via copulas. 24^th Conference of Greek Statistical Institute. Patras, 28 April, 2011
37. Karlis, D. and Orfanogiannaki, K. (2011) Multivariate Hidden Markov Models for  modeling earthquakes. STATSEI 7 , Santorini, May 2011
38. Karlis, D. and  Orfanogiannaki, K. (2011) Multivariate Hidden Markov Models for count data 2nd International Workshop on Integer Valued Time Series, Cyprus, June 2011
39. Karlis, D. and Ntzoufras, I. (2011) Bivariate Skellam distributions with applications to soccer modeling and betting. 3^rd IMA Conference in Mathematics in Sports, Manchester, UK, June 2011

40. Karlis, D. (2011) Modelling Health Surveillance Data via multivariate discrete time series models. CEIB 2011, XII Spanish-Iberoamerican Conference of Biometrics, Barcelona, September 2011 (invited)

41. Karlis, D. (2012) Composite Likelihood Methods for Discrete Valued Time Series. Workshop on Composite Likleihood, Banff, Canada, April, 2012, (participation by invitation only)

42. Karlis, D. and Kosmidis, I. (2012) Mixture modelling through copulas. Workshop on model based clustering. Guelph Canada, July 2012

Technical reports – Working Papers 

• Karlis, D and Dellaportas, P. (1998) Statistical Modelling for the Fatigue Loadings of Wind Turbines.
• Karlis, D. and Xekalaki E. (1998). Choosing Initial Values for the EM Algorithm for Mixtures: A Simulation Comparison. Technical Report 52, Dept of Statistics Athens University of Economics August 1998
• Karlis, D. and Xekalaki E. (1999) Maximum likelihood estimation for the Poisson-binomial distribution via the EM  algorithm with applications to discrete time series models. Technical Report 62, Dept of Statistics Athens University of Economics March 1999
• Karlis, D. and Xekalaki E. (1999) Polygonal Distributions.Technical Report 88, Dept of Statistics Athens University of Economics July 1999
•  Dellaportas P, Karlis D. Xekalaki E. (1999) Credit Scoring via Bayesian analysis of finite Poisson mixtures .
• Karlis D., Ntzoufras I.(2000) Distributions Based on Poisson Differences With Applications in Sports.
•  Karlis, D. and Xekalaki, E. (2000) On some Distributions Stemming from the Triangular Distribution. Technical Report 111, Department of Statistics, Athens University of Economics and Business, August 2000.
• Karlis, D. (2001) A Cautionary Note about the EM Algorithm for Finite Exponential Mixtures. Technical Report No 150, Department of Statistics, Athens University of Economics and Business, August, 2001
• Karlis, D. and Papadimitriou, A (2003). Maximum likelihood estimation for the multivariate Normal Inverse Gaussian model. Technical Report No 202, Department of Statistics, Athens University of Economics and Business, September, 2003
• Andersson, J.L. and Karlis, D. (2008) Treating missing values in INAR(1) models. NHH Discussion paper, 2008/14
• Orfanogiannaki, K., Karlis, D, and Papadopoulos, G. (2008) Identification of seismicity patterns using Poisson Hidden Markov models Technical Report No 237, Department of Statistics, Athens University of Economics,  July, 2008

• X. Pedeli and D. Karlis. Bivariate INAR(1) models. Technical Report no.247, Department of Statistics, Athens University of Economics and Business, June, 2009.

• Lluís Bermúdez and Karlis, D. (2010) Modelling dependence in a ratemaking procedure with multivariate Poisson regression models DOCUMENT DE TREBALL XREAP2010-4, University of Barcelona

• Kosmidis, I., and Karlis, D.(2010) Supervised sampling for clustering large data sets.CRiSM working paper 10-10.

• Bermudez, L. and Karlis, D. (2011) Mixture of Bivariate Poisson Regressions with an Application to insurance. DOCUMENT DE TREBALL XREAP2011-10, University of Barcelona