Papers published
                   Edited Volumes
                   Conferences
                   Technical reports – Working Papers

                    Presentations

Papers published
 

1. Karlis D., Xekalaki E. (1998) Minimum Hellinger distance estimation for finite Poisson mixtures. Computational Statistics and Data Analysis, 29, 81-103.
2. Karlis D., Xekalaki E. (1999) On testing for the number of components in finite Poisson mixtures. Annals of the Institute of Statistical Mathematics, 51, 149-161.
3. Karlis D., Xekalaki E. (1999). Improving the EM algorithm for mixtures. Statistics and Computing, 9, 303-307.
4. Diamantidis N., Karlis D., Giakoumakis M. (2000) Unsupervised stratification of cross-validation for accuracy estimation. Artificial Intelligence, 116, 1-16.
5. Karlis D., Xekalaki E. (2000) A Simulation Comparison of Several Tests for the Poisson Distribution.  Journal of the Royal Statistical Society, Series D, (The Statistician), 49, 355-382.
6. Karlis D. and Ntzoufras J. (2000). On Modelling Soccer Data. Student, 3, 229-245. 
7. Dellaportas P., Karlis D. (2001) A simulation approach to Empirical Bayes analysis. International Statistical Review, 69, 63-79
8. Karlis D., Xekalaki E. (2000) Robust Testing And Diagnostics For Finite Poisson Mixtures. Journal of Statistical Planning and Inference, 93, 93-115 .
9. Κarlis, D. (2001) Exact ML estimation for Mixed Poisson Regression Models  Statistical Modelling : An International Journal, 1, 305-319
10. Karlis D., (2002). An EM Type Algorithm for ML estimation for the Normal –Inverse Gaussian Distribution. Statistics and Probability Letters , 57, 43-52
11. Karlis, D. Kostaki, A. (2002) Bootstrap Techniques for Mortality Models Biometrical Journal, 44, 696-712.   
12. Karlis D., Xekalaki E. (2002)  Choosing initial values for the EM algorithm for finite mixtures Computational Statistics and Data Analysis, 41, 577-590
13.  Karlis D. (2002) An EM Algorithm for Multivariate Poisson Distribution and Related  Models. Journal of Applied Statistics, ,  30,  63-77  
14.  Karlis, D.,  Saporta, G. and Spinakis A. (2003) A Simple Rule for the Selection  of Principal Components Communications in Statistics - Theory and Methods, 32, 643 –666.  
15. Karlis D., Xekalaki E. (2003)  A Zero frequency alternative method to the moment method of estimation in  Finite Poisson Mixtures  Journal of Statistical Computation and Simulation, 73, 409-427.
16. Iliopoulos, G.  and Karlis, D. (2003) Simulation from the Bessel distribution with applications Journal of Statistical Computation and Simulation, 73,  491–506
17. Karlis, D and Ntzoufras J. (2003) Analysis of Sports Data Using Bivariate Poisson Models  The Statistician, 52, 381-393
18. Karlis, D. (2003) Maximum Likelihood Estimation for Multivariate Shock Models.  Annals of the Institute of Statistical Mathematics, 55, 817-830  
19. Tsiamyrtzis, P. and Karlis, D. (2004)  Strategies for efficient computation of multivariate Poisson probabilities. Communications in Statistics, Simulation and Computation,  33, 271 –293
20. Brijs, T., Karlis, D. , G. Swinnen,   K. Vanhoof and   G. Wets and Manchanda, P. (2004) A Multivariate Poisson Mixture for Marketing Applications .  Statistica Neerlandica, 58, 322-348
21. Frangos, N. and Karlis, D. (2004)  Modelling Losses using a Exponential-Inverse Gaussian Distribution.  Insurance: Mathematics and Economics, 35, 53-67  
22. Karlis, D. and Lillestol, J. (2004) Bayesian estimation for the Normal Inverse Gaussian  distribution. Applied Stochastic Models in Business and Industry 20, 323-338  
23. Karlis, D. and Xekalaki E. (2005) Mixed Poisson Distributions. International Statistical Review , 73, 35-58
24. Karlis, D. (2005) An EM algorithm for mixed Poisson distributions ASTIN Bulletin 35, 3-24
25. Ntzoufras J., Katsis, A. and Karlis, D. (2005) Bayesian Assessment of the Distribution of Insurance  Claim Counts Using Reversible Jump MCMC. North American Actuarial Journal 9, (3), 1-19
26. Iliopoulos, G. , Karlis, D. and Ntzoufras J. (2005). Bayesian estimation in Kibble's bivariate gamma distribution.  Canadian Journal of Statistics  33, 571-589
27. Karlis D. and Ntzoufras J.  (2005). Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models R. Journal of statistical Software, vol14, issue 10.
28. Karlis, D. and Meligkotsidou, L. (2005) Multivariate Poisson Regression with  Covariance Structure. Statistics and Computing 15, 255-265.
29. Karlis, D. and Ntzoufras J. (2006).  Bayesian Analysis of the Differences of Count Data. Statistics in Medicine 25, 1885-1905  
30. Geurts, K., Wets, G., Brijs, T., Van Hoof, K. , Karlis, D. (2005) Ranking And Selecting Dangerous Crash Locations: Correcting For The Number Of Passengers And Bayesian Ranking Plots. Journal of Safety Research    , 37, 83-91
31. Brijs, T.,  Karlis, D.,  van den Bossche and Wets, G. (2006) A Model for Identifying and Ranking Dangerous Accident Locations: A Case-Study in Flanders. Statistica Neerlandica, 60, 457-476
32. Karlis, D. and Meligkotsidou, L. (2007) Finite multivariate Poisson mixtures with applications  Journal of Statistical Planning and Inference, 137, 1942-1960
33. Karlis, D. and Patilea, V. (2007) Confidence Intervals of the hazard function for discrete distributions using mixtures    Computational statistics and Data Anatysis, 51, 5388-5401
34. Karlis, D., Rahmouni, M. (2007) Analysis of Defaulters' Behaviour Using Poisson-Mixture Approach, IMA Journal of Mathematics in Management , 18. 297-311
35. Nikoloulopoulos, AK, and Karlis, D. (2008)  On modelling count data: a comparison of some well known discrete distributions ournal of Statistical Computation and Simulation, 78, 437-457
36. Brijs, T., Karlis, D, Van der Bosche, P and Wets, G. (2007). A Bayesian model for ranking hazardous road sites. Journal of the Royal Statistical Society, Series A, 170, 1001-1017
37. Nikoloulopoulos, A.K and Karlis, D. (2008) Fitting copulas to bivariate earthquake data: the seismic gap hypothesis revisited Environmetrics, 2008; 19: 251–269
38. Karlis, D. and Tsiamyrtzis, P. (2008). Exact Bayesian Inference for bivariate Poisson models. Statistics and Computing, 18, 27-40
39. Pavlopoulos, H. and Karlis, D. (2008)  INAR(1) Modelling of Overdispersed Count Series with an Environmental Application Environmetrics, 19,  369-393
40. Karlis, D., Vasdekis, VSG, Banti, M. (2009) Heteroscedastic Semiparametric models for Domestic Water Consumption  Ecological and Environmental Statistics, 16, 355-267
41. Karlis, D. and Patilea, V. (2008). Bootstrap confidence intervals intervals in mixtures of discrete distributions.  Journal of Statistical Planning and Inference , 138, 2313-2329
42. Nikoloulopoulos, A.K and Karlis, D. (2008) Copula model evaluation based on parametric bootstrap Computational Statistics and Data Analysis,52, 3342-3353
43.  Brijs, T., Karlis, D. and Weets, G. (2008) An Integer Autoregressive Model to Study the Effect of Weather Conditions on Daily Car Accident Counts   Accident analysis and Prevention, 40, 1180-1190  
44. Karlis, D. and Santourian, A. (2008) Model Based Clustering with non-elliptically contoured distributions  Statistics and Computing, 19, 73-83
45. Karlis, D. and Ntzoufras J.  (2008) Bayesian modelling of football outcomes: Using the Skellam’s distribution for the goal difference  IMA Journal of Mathematics in Management, 20, 133-145)
46. Karlis, D. (2009) A note on the estimation of the Exponential Poisson distribution, a nested EM algorithm.  Computational Statistics and Data Analysiς, 53, 894-89
47. Nikoloulopoulos, A.K. and Karlis, D. (2008). Multivariate logit copula model with an application to dental data . Statistics in Medicine, 27,  6393-406
48. Nikoloulopoulos, A.K.. and Karlis, D. (2009) Finite normal mixture copula for modeling multivariate discrete data. Journal of Statistical Planning and Inference, 139, 3878-3890
49. Fragiadakis, K., Karlis, D. and Meintanis, S.G. (2009) Tests of Fit for Normal Inverse Gaussian Distributions  Statistical Methodology,  6, 553-564
50. Nikoloulopoulos, A.K.. and Karlis, D. (2010).Regression in a copula model for bivariate count data.  Journal of Applied Statistics, 37, 1555-1568
51. Orfanogiannaki, K., Karlis, D. and Papadopoulos, J. (2010) Identifying seismicity patterns using Poisson Hidden Markov Models  Pure and Applied Geophysics)167, 919-931
52. Nikoloulopoulos, A.K. and Karlis, D. (2010). Modelling multivariate count data using copulas. Communications in statistics, Simulation and Computation, 39, 182-197
53. Andersson J.  and Karlis D.  (2009) Treating missing values in INAR model with an application to syndromic surveillance.  Journal of Time Series Analysis, 31, 12-19
54. Pedeli, X. and Karlis, D. (2011) A bivariate Poisson INAR(1) model with application , Statistical Modelling,11, 325-349.
55. Karlis, D. and Ntzoufras, I. (2011) Robust fitting for football prediction models. 22, 171-182
56. NG, C.T., Joe, H., Karlis, D. amd Liu, J (2011) Composite Likelihood Methods For Time Series Models With A Latent Autoregressive Process , Statistica Sinica 21, 279-305
57. Bermudez, L. and Karlis, D. (2011) Bayesian multivariate Poisson models for insurance ratemaking , Insurance: Mathematics and Economics, 48, 226-236

58. Pedeli, X. and Karlis, D. (2010). On estimation for the bivariate Poisson INAR process. (to appear in Communications in Statistics, Simulation and Computation)

59. Perakis, K, Karlis, D, Cools, M., Janssens, D., Van Hoof, K. and Wets, G. (2011) A Bayesian Approach for Modeling Origin-Destination Matrices  (to appear in Transportation Research, Part A)

60. Wikström, P-O.H., Tseloni, A. and Karlis, D. (2011) Do people comply with the law because they fear getting caught?  European Journal of Criminology, 8, 401-420

61. Fragiadakis, K. , Karlis, d. and Meintanis, S. (2011) Inference procedures for the variance gamma model and applications,  Journal of Statistical Computation and Simulation (to appear)

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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)

     

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

   

   

   

Presentations