Dimitris Karlis

Statistics and Probability · 2000–2013

A researcher in the Science corpus: 19 papers; trusts 46 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 55 citations into it; #1,917 of 12,932 by trust here, #1,860 by citations
• Artificial Intelligence — 36 citations into it; #4,422 of 35,345 by trust here, #8,999 by citations
• Finance — 30 citations into it; #2,248 of 10,518 by trust here, #5,728 by citations
• Economics and Econometrics — 29 citations into it; #3,398 of 23,481 by trust here, #11,156 by citations
• Management Science and Operations Research — 27 citations into it; #5,336 of 11,946 by trust here, #6,563 by citations
• Demography — 6 citations into it

Whom Dimitris Karlis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Arthur P. Dempster
2. Aristidis K. Nikoloulopoulos
3. Diane Lambert
4. Johana Nešlehová
5. Cristiano Varin
6. Christian Genest
7. Brendan McCabe
8. Nan M. Laird
9. Stu Daultrey
10. Harry Joe

Who trusts Dimitris Karlis overall

1. Aristidis K. Nikoloulopoulos
2. Lluís Bermúdez
3. Ian G. McHale
4. S. J. Koopman
5. Xanthi Pedeli
6. Kjersti Aas
7. Reiichiro Kawai
8. Zhaohui Wang
9. Jianming Ma
10. Philip A. Scarf

Papers from Dimitris Karlis's perspective

Ordered by how strongly the researchers Dimitris Karlis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Constraints on concordance measures in bivariate discrete data
2. Asymptotic efficiency of the two-stage estimation method for copula-based models
3. An Introduction to Copulas
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. On the properties of some nonparametric concordance measures in the discrete case
6. Multivariate Dispersion Models Generated From Gaussian Copula
7. Finite normal mixture copulas for multivariate discrete data modeling
8. Forecasting discrete valued low count time series
9. Composite likelihood estimation in multivariate data analysis
10. On rank correlation measures for non-continuous random variables

Their papers

• Finite mixtures of multivariate Poisson distributions with application (2007) — 116 citations
• Choosing initial values for the EM algorithm for finite mixtures (2003) — 307 citations
• Bayesian multivariate Poisson models for insurance ratemaking (2011) — 85 citations
• Analysis of sports data by using bivariate Poisson models (2003) — 466 citations
• A Simulation Comparison of Several Procedures for Testing the Poisson Assumption (2000) — 54 citations
• An EM type algorithm for maximum likelihood estimation of the normal-inverse Gaussian distribution (2002) — 134 citations
• Finite normal mixture copulas for multivariate discrete data modeling (2009) — 48 citations
• Flexible Bivariate INAR(1) Processes Using Copulas (2013) — 59 citations
• Mixed Poisson Distributions (2005) — 390 citations
• Regression in a copula model for bivariate count data (2010) — 51 citations
• On composite likelihood estimation of a multivariate INAR(1) model (2013) — 69 citations
• A bivariate INAR(1) process with application (2011) — 151 citations
• Do people comply with the law because they fear getting caught? (2011) — 88 citations
• Modelling Dependence in a Ratemaking Procedure with Multivariate Poisson Regression Models (2010) — 65 citations
• On modeling count data: a comparison of some well-known discrete distributions (2008) — 65 citations
• Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference (2008) — 184 citations
• EM Algorithm for Mixed Poisson and Other Discrete Distributions (2005) — 48 citations
• An EM algorithm for multivariate Poisson distribution and related models (2003) — 198 citations
• A Simple Rule for the Selection of Principal Components (2003) — 78 citations