Research Papers




               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. arlis, 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,  491506
  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: 251269
  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 distributionsJournal 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 Skellams 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 Analysi, 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. (2013). On estimation for the bivariate Poisson INAR process. Communications in Statistics, Simulation and Computation, 42,3, 514-533

  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. 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

  62. 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) 

  63. Pedeli, X. and Karlis, D. (2012) On composite likelihood estimation of a multivariate INAR(1) model. Journal of Time Series Analysis 34, 206-220

  64. Arakelian, V. and Karlis, D. (2014) Clustering dependencies via mixtures of copulas Communications in Statistics, Simulation and Computation 43, 1644-1661.

  65. Karlis, D. and Pedeli, X. (2013) Flexible bivariate INAR(1) model using copulas.  Communications in Statistics, Theory and Methods 42, 723-740

  66. 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

  67. 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

  68. Pedeli, X. and Karlis, D. (2013) Some properties of multivariate INAR(1) processes. Computational Statistics and Data Analysis, 67, 213-225

  69. Andersson,. J. and Karlis, D. (2013) A Parametric Time Series Model with Covariates for Integers in Z. Statistical modelling 14 (2), pp. 135-156

  70. 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

  71. 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

  72. Meintanis, S.G. and Karlis, D. (2014) Validation Tests for the Innovation Distribution in INAR Time Series Models Computational Statistics , 29, 1221-1241

  73.  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

  74.  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

  75.  Chesneau, C., Kachour, M. and Karlis, D. (2015) On some distributions arising from a generalized trivariate reduction scheme. Statistical Methodology, 25, 36-50

  76. Kosmidis, I. and Karlis, D. (2015)  Model Based clustering using copulas. Statistics and Computing (to appear)

  77. Bermudez, L. and Karlis, D. (2015) A posteriori ratemaking using bivariate Poisson models. Scandinavian Actuarial journal  2017(2),  148-158

  78. Karlis, D., Papatla, P, Roy, S. (2016) Finite Mixtures of Censored Poisson Regression Models. Statistica Neerlandica, 70, 100-122

  79. 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

  80. 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)

  81. 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

  82. D Karlis, G Tzougas, N Frangos (2018) Confidence intervals of the premiums of optimal bonus malus systems, Scandinavian Actuarial Journal,  129-144

  83. 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.

  84. 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)

  85. 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

  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  
  4. 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
 

 

 

 

  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. arlis, D. (2001) The Normal-Inverse Gaussian Distribution and its application to financial data.  , , 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. arlis, 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. 3rd 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. 19th 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, 4th 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, 4th IASC Conference, Yokohama, Japan, December 2008
  29. Pedeli, X. and Karlis, D. (2009) A Bivariate Integer Autoregressive Model. 5th 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. 5th 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 7th 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. 24th 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. 3rd 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

  43. Karlis, D. (2013) Clustering Longitudinal Count Data. 7th EMR-IBS conference, Tel Aviv, April 2013
  44. Karlis, D. (2013) Multivariate count data with censoring, 26th Conference of Greek Statistical Institute. Pireus, 9 May, 2013
  45. Dafni, U, Karlis, D and Polydoropoulou, V. (2013) Randomization: To Block or Not To Block, 7th EMR-IBS conference, Tel Aviv, April 2013
  46. Karlis, D. (2013) Clustering Longitudinal Count Data. XIV Spanish Biometrics Conference, Ciudad Real, May 2013

  47. 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
  48. Karlis, D. (2014) Model Based clustering for censoring count data. Workshop on Model Based Clustering, Dublin July 2014.
  49. 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
  50. 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)
  51. 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)
  52. Karlis, D. (2015) Clustering discrete valued time series, 3rd Meetings of Statistics, Athens June 2015
  53. Karlis, D. (2015) Robust modelling in Soccer. 5th Mathsport International Conference, Loughborough, UK, July 2015/07/06
  54. arlis, D., Dafni, U, Pedeli, X. (2015)  A new adaptive design for Phase II Clinical Trials. XVth Spanish Biometrics Society Conference. Bilbao, September 2015
  55. Karlis, D. (2016) Model Based Clustering using copulas, recent advances. Workshop on Model Based Clustering, Paris, July 2016
  56. 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
  57. Karlis, D. (2016)  Statistical modeling and Prediction for Football Games, Workshop on Sports Analytics, November, 2016
  58. Karlis, D. (2016) Sports Analytics, Conference of the Greek Society of Administration in Sports, Athens, December 2016.
  59. 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
  60. Karlis, D. (2017) Clustering discrete time series data via model based clustering. Working Group on Model Based Clustering, Perugia, July 2017
  61. 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
  62. Karlis, D., (2017) Clustering with copulas: Some new results. Statistics4@Florence, June 2017
  63. Karlis, D. (2017)  Models  for Football Games, 2nd  Workshop on Sports Analytics, November, 2017
  64. Karlis, D (2018) Modelling Longitudinal discrete data with a BINAR Regression model, 31st Panhellenic Conference of Statistics, Lamia, May 2018

     

 

 

 

 

 

 

 

 


Technical reports Working Papers 

 

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