All Stories

  1. Extending the Dixon and Coles model: an application to women’s football data
  2. The Negative Binomial INAR(1) Process under Different Thinning Processes: Can We Separate between the Different Models?
  3. Proposer of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’
  4. The multilateral spatial integer‐valued process of order 1
  5. Observation‐driven exponential smoothing
  6. Football tracking data: a copula-based hidden Markov model for classification of tactics in football
  7. Multivariate INAR(1) Regression Models Based on the Sarmanov Distribution
  8. Modelling Unobserved Heterogeneity in Claim Counts Using Finite Mixture Models
  9. An integer‐valued time series model for multivariate surveillance
  10. A discrete mixture regression for modeling the duration of non-hospitalization medical leave of motor accident victims
  11. Allowing for time and cross dependence assumptions between claim counts in ratemaking models
  12. Greek real estate market Automated valuation models in real estate Forecasting accuracy of AVM
  13. A finite mixture of multiple discrete distributions for modelling heaped count data
  14. Confidence intervals of the premiums of optimal bonus malus systems
  15. Effects of Estrogen Receptor and Human Epidermal Growth Factor Receptor-2 Levels on the Efficacy of Trastuzumab
  16. Clustering with the multivariate normal inverse Gaussian distribution
  17. Finite mixtures of censored Poisson regression models
  18. A posteriori ratemaking using bivariate Poisson models
  19. Model-based clustering using copulas with applications
  20. On some distributions arising from a generalized trivariate reduction scheme
  21. Second line treatment for EGFR wild-type advanced NSCLC: The Jury is Still Out
  22. Stochastic Musings
  23. Phase II Design With Sequential Testing of Hypotheses Within Each Stage
  24. Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures
  25. A parametric time series model with covariates for integers in Z
  26. Validation tests for the innovation distribution in INAR time series models
  27. Clustering Dependencies Via Mixtures of Copulas
  28. Some properties of multivariate INAR(1) processes
  29. On Estimation of the Bivariate Poisson INAR Process
  30. Inference procedures for the variance gamma model and applications
  31. Flexible Bivariate INAR(1) Processes Using Copulas
  32. A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking
  33. On composite likelihood estimation of a multivariate INAR(1) model
  34. A Bayesian approach for modeling origin–destination matrices
  35. Do people comply with the law because they fear getting caught?
  36. A bivariate INAR(1) process with application
  37. Bayesian multivariate Poisson models for insurance ratemaking
  38. Robust fitting of football prediction models
  39. Regression in a copula model for bivariate count data
  40. Identifying Seismicity Levels via Poisson Hidden Markov Models
  41. Treating missing values in INAR(1) models: An application to syndromic surveillance data
  42. Modeling Multivariate Count Data Using Copulas
  43. Finite normal mixture copulas for multivariate discrete data modeling
  44. Tests of fit for normal inverse Gaussian distributions
  45. A note on the exponential Poisson distribution: A nested EM algorithm
  46. Multivariate logit copula model with an application to dental data
  47. Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference
  48. Bootstrap confidence intervals in mixtures of discrete distributions
  49. Model-based clustering with non-elliptically contoured distributions
  50. Studying the effect of weather conditions on daily crash counts using a discrete time-series model
  51. Copula model evaluation based on parametric bootstrap
  52. On modeling count data: a comparison of some well-known discrete distributions
  53. Fitting copulas to bivariate earthquake data: the seismic gap hypothesis revisited
  54. Heteroscedastic semiparametric models for domestic water consumption aggregated data
  55. INAR(1) modeling of overdispersed count series with an environmental application
  56. Exact Bayesian modeling for bivariate Poisson data and extensions
  57. A Bayesian Model for Ranking Hazardous Road Sites
  58. Confidence intervals of the hazard rate function for discrete distributions using mixtures
  59. Finite mixtures of multivariate Poisson distributions with application
  60. Corrigendum
  61. Mixed Poisson Distributions
  62. Analysis of defaulters' behaviour using the Poisson-mixture approach
  63. A model for identifying and ranking dangerous accident locations: a case study in Flanders
  64. Bayesian analysis of the differences of count data
  65. Ranking and selecting dangerous crash locations: Correcting for the number of passengers and Bayesian ranking plots
  66. Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude
  67. Bayesian estimation in Kibble's bivariate gamma distribution
  68. Multivariate Poisson regression with covariance structure
  69. Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC
  70. EM Algorithm for Mixed Poisson and Other Discrete Distributions
  71. Bayesian estimation of NIG models via Markov chain Monte Carlo methods
  72. A multivariate Poisson mixture model for marketing applications
  73. Modelling losses using an exponential-inverse Gaussian distribution
  74. Strategies for Efficient Computation of Multivariate Poisson Probabilities
  75. Analysis of sports data by using bivariate Poisson models
  76. Simulation from the bessel distribution with applications
  77. A Simple Rule for the Selection of Principal Components
  78. A zero frequency alternative method to the moment method of estimation in finite poisson mixtures
  79. An EM algorithm for multivariate Poisson distribution and related models
  80. Choosing initial values for the EM algorithm for finite mixtures
  81. An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution
  82. A general EM approach for maximum likelihood estimation in mixed Poisson regression models
  83. Robust inference for finite poisson mixtures
  84. Unsupervised stratification of cross-validation for accuracy estimation
  85. Minimum Hellinger distance estimation for Poisson mixtures