Research Papers

Research Papers

               Papers published
                   Edited Volumes
                   Conferences
                   Technical reports – Working Papers

Presentations

Papers published

Karlis D., Xekalaki E. (1998) Minimum Hellinger distance estimation for finite Poisson mixtures. Computational Statistics and Data Analysis, 29, 81-103.
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.
Karlis D., Xekalaki E. (1999). Improving the EM algorithm for mixtures. Statistics and Computing, 9, 303-307.
Diamantidis N., Karlis D., Giakoumakis M. (2000) Unsupervised stratification of cross-validation for accuracy estimation. Artificial Intelligence, 116, 1-16.
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.
Karlis D. and Ntzoufras J. (2000). On Modelling Soccer Data. Student, 3, 229-245.
Dellaportas P., Karlis D. (2001) A simulation approach to Empirical Bayes analysis. International Statistical Review, 69, 63-79
Karlis D., Xekalaki E. (2000) Robust Testing And Diagnostics For Finite Poisson Mixtures. Journal of Statistical Planning and Inference, 93, 93-115 .
Κarlis, D. (2001) Exact ML estimation for Mixed Poisson Regression Models Statistical Modelling : An International Journal, 1, 305-319
Karlis D., (2002). An EM Type Algorithm for ML estimation for the Normal –Inverse Gaussian Distribution. Statistics and Probability Letters , 57, 43-52
Karlis, D. Kostaki, A. (2002) Bootstrap Techniques for Mortality Models Biometrical Journal, 44, 696-712.
Karlis D., Xekalaki E. (2002) Choosing initial values for the EM algorithm for finite mixtures Computational Statistics and Data Analysis, 41, 577-590
Karlis D. (2002) An EM Algorithm for Multivariate Poisson Distribution and Related Models. Journal of Applied Statistics, , 30, 63-77
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.
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.
Iliopoulos, G. and Karlis, D. (2003) Simulation from the Bessel distribution with applications Journal of Statistical Computation and Simulation, 73, 491–506
Karlis, D and Ntzoufras J. (2003) Analysis of Sports Data Using Bivariate Poisson Models The Statistician, 52, 381-393
Karlis, D. (2003) Maximum Likelihood Estimation for Multivariate Shock Models. Annals of the Institute of Statistical Mathematics, 55, 817-830
Tsiamyrtzis, P. and Karlis, D. (2004) Strategies for efficient computation of multivariate Poisson probabilities. Communications in Statistics, Simulation and Computation, 33, 271 –293
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
Frangos, N. and Karlis, D. (2004) Modelling Losses using a Exponential-Inverse Gaussian Distribution. Insurance: Mathematics and Economics, 35, 53-67
Karlis, D. and Lillestol, J. (2004) Bayesian estimation for the Normal Inverse Gaussian distribution. Applied Stochastic Models in Business and Industry 20, 323-338
Karlis, D. and Xekalaki E. (2005) Mixed Poisson Distributions. International Statistical Review , 73, 35-58
Karlis, D. (2005) An EM algorithm for mixed Poisson distributions ASTIN Bulletin 35, 3-24
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
Iliopoulos, G. , Karlis, D. and Ntzoufras J. (2005). Bayesian estimation in Kibble's bivariate gamma distribution. Canadian Journal of Statistics 33, 571-589
Karlis D. and Ntzoufras J. (2005). Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models R. Journal of statistical Software, vol14, issue 10.
Karlis, D. and Meligkotsidou, L. (2005) Multivariate Poisson Regression with Covariance Structure. Statistics and Computing 15, 255-265.
Karlis, D. and Ntzoufras J. (2006). Bayesian Analysis of the Differences of Count Data. Statistics in Medicine 25, 1885-1905
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
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
Karlis, D. and Meligkotsidou, L. (2007) Finite multivariate Poisson mixtures with applications Journal of Statistical Planning and Inference, 137, 1942-1960
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
Karlis, D., Rahmouni, M. (2007) Analysis of Defaulters' Behaviour Using Poisson-Mixture Approach, IMA Journal of Mathematics in Management , 18. 297-311
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
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
Nikoloulopoulos, A.K and Karlis, D. (2008) Fitting copulas to bivariate earthquake data: the seismic gap hypothesis revisited Environmetrics, 2008; 19: 251–269
Karlis, D. and Tsiamyrtzis, P. (2008). Exact Bayesian Inference for bivariate Poisson models. Statistics and Computing, 18, 27-40
Pavlopoulos, H. and Karlis, D. (2008) INAR(1) Modelling of Overdispersed Count Series with an Environmental Application Environmetrics, 19, 369-393
Karlis, D., Vasdekis, VSG, Banti, M. (2009) Heteroscedastic Semiparametric models for Domestic Water Consumption Ecological and Environmental Statistics, 16, 355-267
Karlis, D. and Patilea, V. (2008). Bootstrap confidence intervals intervals in mixtures of discrete distributions. Journal of Statistical Planning and Inference , 138, 2313-2329
Nikoloulopoulos, A.K and Karlis, D. (2008) Copula model evaluation based on parametric bootstrap Computational Statistics and Data Analysis,52, 3342-3353
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
Karlis, D. and Santourian, A. (2008) Model Based Clustering with non-elliptically contoured distributions Statistics and Computing, 19, 73-83
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)
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
Nikoloulopoulos, A.K. and Karlis, D. (2008). Multivariate logit copula model with an application to dental data . Statistics in Medicine, 27, 6393-406
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
Fragiadakis, K., Karlis, D. and Meintanis, S.G. (2009) Tests of Fit for Normal Inverse Gaussian Distributions Statistical Methodology, 6, 553-564
Nikoloulopoulos, A.K.. and Karlis, D. (2010).Regression in a copula model for bivariate count data. Journal of Applied Statistics, 37, 1555-1568
Orfanogiannaki, K., Karlis, D. and Papadopoulos, J. (2010) Identifying seismicity patterns using Poisson Hidden Markov Models Pure and Applied Geophysics)167, 919-931
Nikoloulopoulos, A.K. and Karlis, D. (2010). Modelling multivariate count data using copulas. Communications in statistics, Simulation and Computation, 39, 182-197
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
Pedeli, X. and Karlis, D. (2011) A bivariate Poisson INAR(1) model with application , Statistical Modelling,11, 325-349.
Karlis, D. and Ntzoufras, I. (2011) Robust fitting for football prediction models. 22, 171-182
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
Bermudez, L. and Karlis, D. (2011) Bayesian multivariate Poisson models for insurance ratemaking , Insurance: Mathematics and Economics, 48, 226-236
Pedeli, X. and Karlis, D. (2013). On estimation for the bivariate Poisson INAR process. Communications in Statistics, Simulation and Computation, 42,3, 514-533
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)
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
Bermudez, L. and Karlis, D. (2012) A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking. Computational Statistics and Data Analysis 56 , 3988-3999
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)
Pedeli, X. and Karlis, D. (2012) On composite likelihood estimation of a multivariate INAR(1) model. Journal of Time Series Analysis 34, 206-220
Arakelian, V. and Karlis, D. (2014) Clustering dependencies via mixtures of copulas Communications in Statistics, Simulation and Computation 43, 1644-1661.
Karlis, D. and Pedeli, X. (2013) Flexible bivariate INAR(1) model using copulas. Communications in Statistics, Theory and Methods 42, 723-740
Ghitany, M., Karlis, D., Al-Mutairi, D. and Al-Awhadi, F. (2012) Expectation-Maximization algorithm for multivariate mixed Poisson regression models and its application. Applied Mathematical Sciences, 6. 6843 - 6856
Poulopoulou, S., Karlis D and Dafni, U., Yiannoutsos, C. (2014) Phase II Design with Sequential Testing of Hypotheses within Each Stage Journal of Biopharmaceutical Statistics, 24(4), 768-784
Pedeli, X. and Karlis, D. (2013) Some properties of multivariate INAR(1) processes. Computational Statistics and Data Analysis, 67, 213-225
Andersson,. J. and Karlis, D. (2013) A Parametric Time Series Model with Covariates for Integers in Z. Statistical modelling 14 (2), pp. 135-156
Perrakis, K., Karlis, D, Cools, M. and Janssen, D. (2015) Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures (to appear in Journal of the Royal Statistical Society, Series A, 178, 271-296
Orfanogiannaki, K., Karlis, D. and Papadopoulos, G. (2014) Identification of temporal patterns in the seismicity of Sumatra using Poisson Hidden Markov Models. Research in Geophysics, Vol 4, No 1
Meintanis, S.G. and Karlis, D. (2014) Validation Tests for the Innovation Distribution in INAR Time Series Models Computational Statistics , 29, 1221-1241
O'Hagan,A., Murphy,B., Gormley, C., McNicholas, P. and Karlis, D. (2014) Clustering with the Multivariate Normal Inverse Gaussian Distribution Computational Statistics and Data Analysis, 10.1016/j.csda.2014.09.006
Dafni, U., Karlis, D., Smit, E., Peters, S. (2014) Second line treatment for EGFR wild-type advanced NSCLC: The Jury is Still Out (Letter), Lung Cancer, 84(3), 314-315
Chesneau, C., Kachour, M. and Karlis, D. (2015) On some distributions arising from a generalized trivariate reduction scheme. Statistical Methodology, 25, 36-50
Kosmidis, I. and Karlis, D. (2015) Model Based clustering using copulas. Statistics and Computing (to appear)
Bermudez, L. and Karlis, D. (2015) A posteriori ratemaking using bivariate Poisson models. Scandinavian Actuarial journal 2017(2), 148-158
Karlis, D., Papatla, P, Roy, S. (2016) Finite Mixtures of Censored Poisson Regression Models. Statistica Neerlandica, 70, 100-122
Sherene Loi, Urania Dafni, Dimitris Karlis, Varvara Polydoropoulou, Brandon M. Young, Scooter Willis, Bradley Long, Evandro de Azambuja, Christos Sotiriou, Giuseppe Viale, Josef Rüschoff, Martine J. Piccart, Mitch Dowsett, PhD13; Stefan Michiels, PhD14; Brian Leyland-Jones, (2016) Effects of Estrogen Receptor and Human Epidermal Growth Factor Receptor-2 Levels on the Efficacy of Trastuzumab A Secondary Analysis of the HERA Trial JAMA Oncology, 2(8), 1040-1047
Orfanogiannaki, K. and Karlis, D. (2017) Multivariate Poisson Hidden Markov models with a case study of modelling seismicity. Australian and New Zealand Journal of Statistics (to appear)
Bermúdez, L.,Karlis, D. and Santolino, M. (2017) A finite mixture of multiple discrete distributions for modelling heaped count data Computational Statistics & Data Analysis, 112, 14-23
D Karlis, G Tzougas, N Frangos (2018) Confidence intervals of the premiums of optimal bonus malus systems, Scandinavian Actuarial Journal, 129-144
Cherny, N. I., Dafni, U., Piccart, M., Latino, N. J., Douillard, J. Y., Bogaerts, J., ... & Zielinski, C. (2018). Reply to “ESMO-MCBS v1. 1: Statistical and Patient Relevant Shortcomings” by R. Emprechtinger et al. Annals of Oncology.
Alexandridis, A. and Karlis, D.and Papastamos, D.and Andritsos, D. (2018) Real Estate valuation and forecasting in non-homogeneous markets: A case study in Greece during the financial crisis. Journal of the Operational Research Society, (in press)
Bermúdez, L., M. Guillén, Karlis, Allowing for time and cross dependence assumptions between claim counts in ratemaking models, Insurance: Mathematics and Economics (to appear)

Edited Volumes

Karlis, D and Xekalaki, E. (2003). Mixtures everywhere. In Stochastic Musings, ed J. Panaretos, pp 78-95.
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.
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
Karlis, D. (2015) Modelling multivariate times series for counts. In Handbook of Discrete-Valued Time Series, edited by Richard A. Davis, Scott H. Holan, Robert Lund, Nalini Ravishanker, CRC Press, ISBN 9781466577732

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
Bermúdez, L. and D. Karlis (2012) How to deal with unobserved heterogeneity when modelling bivariate claim counts, Proceedings of Actuarial and Financial Mathematics Conference 2012, 65-71
Bermúdez, L. and D. Karlis (2014) Risk classification for claim counts using finite mixture models. Proceedings of Actuarial and Financial Mathematics Conference 2014, 71-76
Bermúdez, L., Montserrat Guillén and Dimitris Karlis. (2015) A bivariate INAR(1) model for insurance claim counts. International Conference on Risk Analysis ICRA 6 / RISK 2015 Barcelona, May 26 - 29, 2015, pp 143-151
Bermúdez, L. Dimitris Karlis and Miguel Santolino (2015). A finite mixture of multiple Poisson distributions for modelling days of absence from work due to motor accident. International Conference on Risk Analysis ICRA 6 / RISK 2015 Barcelona, May 26 - 29, 2015, pp 153-160

Other Conferences (presenter)

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
KarlisD. (2000) Exact ML estimation for Mixed Poisson Regression Models. Euroworkshop on Mixed Models, Munich, November 2000
Κarlis, D. (2001) The Normal-Inverse Gaussian Distribution and its application to financial data. Πανελλήνιο Συνέδριο Στατιστικής, Σκιάθος, Απρίλιος 2001.
Karlis, D., Xekalaki, E. (2001). On Choosing Iniital Values for the EM algorithm for Finite Poisson Mixtures. Mixtures 2001 Conference, Hamburg, Germany, July 2001.
Κarlis, D. (2002) Model based clustering for count data. 15th Panhelenic Confenrence in Statistics , Ioannina, May 2002.
Iliopoulos, G. and Karlis, D. (2002) Simulation from the Bessel distribution with applications. 15th Panhelenic Confenrence in Statistics , Ioannina, May 2002.
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.
Karlis, D. (2002) Overdispersed Integer Valued Autoregressive Models. COMPSTAT 2002, Berlin, August 2002.
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.
I. Ntzoufras, D. Karlis, (2003). Bayesian tests for Poisson difference data. 16th Panhelenic Confenrence in Statistics , Kavala, April 2003.
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.
Karlis , D. and Tsiamyrtzis, P. (2004). Exact Bayesian Inference for Bivariate Poisson data. 2nd International Workshop in Applied Probability, Pireaus, Greece, March 2004.
Karlis, D. and Papadimitriou A. (2004) Inference for the multivariate Normal Inverse Gaussian model. 17th Panhelenic Confenrence in Statistics , Lefkada, April 2004.
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.
Nikoloulopoulos, A.K and Karlis, D. (2005) Modelling Bivariate Count Data Using Copula functions, 3rd EMR-IBS conference, Corfu, 10-12 May, 2005
Karlis, D. and Nikoloulopoulos, A.K. (2005). Modeling multivariate count data. 25th European Meeting of Statisticians, Oslo, 24-28 July, 2005
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
Karlis, D. (2006) Time series models for count data. Invited paper in TRB 2006, Washington DC, January 2006.
Nikoloulopoulos, A.K. and Karlis D. (2006). Modelling multivariate binary data using copulas. 19^th Panehellenic Conference in statistics, Kastoria, Greece, April 2006
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
Xekalaki, E. and Karlis, D. (2006) The Polygonal Distribution . International Conference on Mathematical and Statistical Modeling in Honor of Enrique Castillo (ICMSM 2006)
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)
Karlis, D. and Arakelian, V. Mixtures of copulas and their applications in clustering. German classification society Conference, (GFKL) Freiburg, 7-9 March.
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
Karlis, D. and Ntzoufras, I. (2007) Bayesian modeling of football outcomes. IMA Conference on mathematics in sports, Macnshetser, June 2007.
Karlis, D. and Andersson, J. (2008) Missing data for discrete valued time series. COMPSTAT 2008, Porto, Portugal, August 2008
Karlis, D. (2008) On modeling multivariate count data. NIPS, Workshop, December, 2008, Whistler Canada (invited)
Karlis, D. and Andersson, J. (2008) Missing Values in Discrete Valued Time Series Models, 4^th IASC Conference, Yokohama, Japan, December 2008
Pedeli, X. and Karlis, D. (2009) A Bivariate Integer Autoregressive Model. 5^th EMR-IBS conference, Instanbul, May 2009
Karlis, D and Ntzoufras, J. (2009) Robust fitting of football prediction models. 2nd Conference in Mathematics and Sports, Groningen, The Netherlands, June 2009
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
Karlis, D, Arakelian, V. (2009) Clustering dependencies via mixture of copulas. 5^th ERCIM, Limassol, Cyprus, October, 2009
Karlis, D. (2010) Model Based Clustering using copulas. Workshop on Model Based Clustering, Grenoble, INRIA, July 2010
Karlis, D. (2010) Multivariate Integer Autoregressive Models. In 7^th Conference for Multivariate Distribution and Applications, Maresias, Sao Paolo, Brazil, August 2010
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.
Karlis, D. (2011) Model based clustering via copulas. 24^th Conference of Greek Statistical Institute. Patras, 28 April, 2011
Karlis, D. and Orfanogiannaki, K. (2011) Multivariate Hidden Markov Models for modeling earthquakes. STATSEI 7 , Santorini, May 2011
Karlis, D. and Orfanogiannaki, K. (2011) Multivariate Hidden Markov Models for count data 2nd International Workshop on Integer Valued Time Series, Cyprus, June 2011
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
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)
Karlis, D. (2012) Composite Likelihood Methods for Discrete Valued Time Series. Workshop on Composite Likleihood, Banff, Canada, April, 2012, (participation by invitation only)
Karlis, D. and Kosmidis, I. (2012) Mixture modelling through copulas. Workshop on model based clustering. Guelph Canada, July 2012
Karlis, D. (2013) Clustering Longitudinal Count Data. 7^th EMR-IBS conference, Tel Aviv, April 2013
Karlis, D. (2013) Multivariate count data with censoring, 26^th Conference of Greek Statistical Institute. Pireus, 9 May, 2013
Dafni, U, Karlis, D and Polydoropoulou, V. (2013) Randomization: To Block or Not To Block, 7^th EMR-IBS conference, Tel Aviv, April 2013
Karlis, D. (2013) Clustering Longitudinal Count Data. XIV Spanish Biometrics Conference, Ciudad Real, May 2013
Karlis, D., Poulopoulou, S., Dafni, U. (2014) Single-arm Phase II design for time-to-event endpoint based on Edgeworth expansion. 27th International Biometric Conference, Firenze, July 2014
Karlis, D. (2014) Model Based clustering for censoring count data. Workshop on Model Based Clustering, Dublin July 2014.
Karlis, D. and Pedeli, X. (2015) Modelling multivariate time series of earthquake data: selection of covariance structure. 28th Conference of Greek Statistical Institute. Athens, April, 2015
Karlis, D. and Pedeli, X. (2015) Selection of covariance structure for multivariate count time series of earthquake data. 3rd Workshop on Statistical Modelling of Complexly Correlated Data with Applications, University of Prince Edwards Island, Canada, June 2015 (by invitation)
Karlis, D (2015) On Multivariate Time Series for Counts Based on Multivariate Integer Autoregressive models. (Invited Session, 43rd Annual Meeting of the Statistical Society of Canada, Halifax, Canada, June 2015)
Karlis, D. (2015) Clustering discrete valued time series, 3rd Meetings of Statistics, Athens June 2015
Karlis, D. (2015) Robust modelling in Soccer. 5th Mathsport International Conference, Loughborough, UK, July 2015/07/06
Κarlis, D., Dafni, U, Pedeli, X. (2015) A new adaptive design for Phase II Clinical Trials. XVth Spanish Biometrics Society Conference. Bilbao, September 2015
Karlis, D. (2016) Model Based Clustering using copulas, recent advances. Workshop on Model Based Clustering, Paris, July 2016
Karlis, D, Bermudez, L and Santoolino, M. (2016) On mixtures of multiple discrete distributions with application. International Conference on Statistical Distributions and Applications, ICOSDA 2016, Oct. 14-16, 2016, Niagara Falls, Canada
Karlis, D. (2016) Statistical modeling and Prediction for Football Games, Workshop on Sports Analytics, November, 2016
Karlis, D. (2016) Sports Analytics, Conference of the Greek Society of Administration in Sports, Athens, December 2016.
Karlis, D., Bermudez, L. and Santolino, M. (2017) Multiple discrete distributions for modelling heaped count data in health insurance. 9th EMR-IBS Conference, Thessaloniki, May 2017
Karlis, D. (2017) Clustering discrete time series data via model based clustering. Working Group on Model Based Clustering, Perugia, July 2017
Karlis, D., Manasis, V, and Ntoufras, I. (2017) On the stochastic nature of indices of competitive balance. Conference on Mathematics in Sports, Padova, June 2017
Karlis, D., (2017) Clustering with copulas: Some new results. Statistics4@Florence, June 2017
Karlis, D. (2017) Models for Football Games, 2^nd Workshop on Sports Analytics, November, 2017
Karlis, D (2018) Modelling Longitudinal discrete data with a BINAR Regression model, 31^st Panhellenic Conference of Statistics, Lamia, May 2018

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

Model Based Clustering for Count Data: paper presented in the 15th Greek Conference on Statistics, Ioannina, May 2002

Multivariate Poisson models: talk given in University of Diepenbeek, Belgium, 23 October 2002.

Bivariate Poisson regression models: paper presented in the 16th Greek Conference on Statistics, Kavala, May 2003

Introduction to bootstrap: short course given during the 17th Panhelenic Confenrence in Statistics , Lefkada, April 2004.

Modeling multivariate count data. Talk given in NIPS 2008, Whistler, Canada, December 2008

Last updated : 5 May 2018