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Copula-based bivariate finite mixture regression models with an application for insurance claim count data

Test (Madrid, Spain), 2022-12, Vol.31 (4), p.1082-1099

2022

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Studying the effect of weather conditions on daily crash counts using a discrete time-series model

Accident analysis and prevention, 2008-05, Vol.40 (3), p.1180-1190

2008

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Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data

Journal of classification, 2022-11, Vol.39 (3), p.510-552

2022

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Clustering discrete-valued time series

Advances in data analysis and classification, 2021-03, Vol.15 (1), p.209-229

2021

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Bayesian multivariate Poisson models for insurance ratemaking

Insurance, mathematics & economics, 2011-03, Vol.48 (2), p.226-236

2011

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Galectin-3 and Arterial Stiffness in Patients with Heart Failure: A Pilot Study

Current vascular pharmacology, 2019-01, Vol.17 (4), p.396

2019

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Modelling unobserved heterogeneity in claim counts using finite mixture models

Risks (Basel), 2020-01, Vol.8 (1), p.1-13

2020

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Choosing initial values for the EM algorithm for finite mixtures

Computational statistics & data analysis, 2003-01, Vol.41 (3), p.577-590

2003

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Model-based clustering using copulas with applications

Statistics and computing, 2016-09, Vol.26 (5), p.1079-1099

2016

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Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R

Journal of statistical software, 2005-09, Vol.14 (10), p.1-36

2005

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An integer‐valued time series model for multivariate surveillance

Statistics in medicine, 2020-03, Vol.39 (7), p.940-954

2020

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Some properties of multivariate INAR(1) processes

Computational statistics & data analysis, 2013-11, Vol.67, p.213-225

2013

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A Bayesian approach for modeling origin–destination matrices

Transportation research. Part A, Policy and practice, 2012, Vol.46 (1), p.200-212

2012

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Analysis of sports data by using bivariate Poisson models

Journal of the Royal Statistical Society. Series D (The Statistician), 2003-10, Vol.52 (3), p.381-393

2003

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AN EM ALGORITHM FOR FITTING A NEW CLASS OF MIXED EXPONENTIAL REGRESSION MODELS WITH VARYING DISPERSION

ASTIN Bulletin : The Journal of the IAA, 2020-05, Vol.50 (2), p.555-583

2020

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On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods

Statistical modelling, 2023-02, Vol.23 (1), p.81-98

2023

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A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

Journal of the American Statistical Association, 2023-09, p.1-11

2023

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Football tracking data: a copula-based hidden Markov model for classification of tactics in football

Annals of operations research, 2023-06, Vol.325 (1), p.167-183

2023

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A bivariate INAR(1) process with application

Statistical modelling, 2011-08, Vol.11 (4), p.325-349

2011

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On composite likelihood estimation of a multivariate INAR(1) model

Journal of time series analysis, 2013-03, Vol.34 (2), p.206-220

2013

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Flexible Bivariate INAR(1) Processes Using Copulas

Communications in statistics. Theory and methods, 2013-02, Vol.42 (4), p.723-740

2013

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Model-based clustering with non-elliptically contoured distributions

Statistics and computing, 2009-03, Vol.19 (1), p.73-83

2009

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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’

Journal of the Royal Statistical Society Series C: Applied Statistics, 2023-12, Vol.72 (5), p.1127-1128

Karlis, Dimitris

2023

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ML estimation for multivariate shock models via an EM algorithm

Annals of the Institute of Statistical Mathematics, 2003, Vol.55 (4), p.817-830

KARLIS, Dimitris

2003

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The Negative Binomial INAR(1) Process under Different Thinning Processes: Can We Separate between the Different Models?

Stats (Basel, Switzerland), 2024-07, Vol.7 (3), p.793-807

2024

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Copula-based bivariate finite mixture regression models with an application for insurance claim count data

Studying the effect of weather conditions on daily crash counts using a discrete time-series model

Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data

Clustering discrete-valued time series

Bayesian multivariate Poisson models for insurance ratemaking

Galectin-3 and Arterial Stiffness in Patients with Heart Failure: A Pilot Study

Modelling unobserved heterogeneity in claim counts using finite mixture models

Choosing initial values for the EM algorithm for finite mixtures

Model-based clustering using copulas with applications

Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R

An integer‐valued time series model for multivariate surveillance

Some properties of multivariate INAR(1) processes

A Bayesian approach for modeling origin–destination matrices

Analysis of sports data by using bivariate Poisson models

AN EM ALGORITHM FOR FITTING A NEW CLASS OF MIXED EXPONENTIAL REGRESSION MODELS WITH VARYING DISPERSION

On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods

A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

Football tracking data: a copula-based hidden Markov model for classification of tactics in football

A bivariate INAR(1) process with application

On composite likelihood estimation of a multivariate INAR(1) model

Flexible Bivariate INAR(1) Processes Using Copulas

Model-based clustering with non-elliptically contoured distributions

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’

ML estimation for multivariate shock models via an EM algorithm

The Negative Binomial INAR(1) Process under Different Thinning Processes: Can We Separate between the Different Models?

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