Some contributions on the multivariate Poisson-Skellam probability distribution

被引:3
作者
Akpoue, Blache Paul [1 ]
Angers, Jean-Francois [2 ]
机构
[1] STAT Canada, 100 Tunneys Pasture Driveway, Ottawa, ON K1A 0T6, Canada
[2] Univ Montreal, Dept Math & Stat, Ctr Ville Stn, Pavillon Andre Aisenstadt, Montreal, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Correlation; Data augmentation; Discrete data; Metropolis-Hastings; Monte Carlo Markov Chain; Multivariate Poisson distribution; Multivariate Skellam distribution; GENERALIZED LINEAR-MODELS; BAYESIAN-ANALYSIS; EM ALGORITHM; REGRESSION;
D O I
10.1080/03610926.2014.983806
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we introduce a new form of distribution whose components have the Poisson or Skellam marginal distributions. This new specification allows the incorporation of relevant information on the nature of the correlations between every component. In addition, we present some properties of this distribution. Unlike the multivariate Poisson distribution, it can handle variables with positive and negative correlations. It should be noted that we are only interested in modeling covariances of order 2, which means between all pairs of variables. Some simulations are presented to illustrate the estimation methods. Finally, an application of soccer teams data will highlight the relationship between number of points per season and the goal differential by some covariates.
引用
收藏
页码:49 / 68
页数:20
相关论文
共 29 条
[1]  
AITCHISON J, 1989, BIOMETRIKA, V76, P643
[2]  
Albert J.A., 2000, Generalized Linear Models: A Bayesian Perspective, DOI DOI 10.1201/9781482293456
[4]  
Bulla J., 2014, COMMUN STAT IN PRESS
[5]   BAYESIAN-INFERENCE FOR GENERALIZED LINEAR AND PROPORTIONAL HAZARDS MODELS VIA GIBBS SAMPLING [J].
DELLAPORTAS, P ;
SMITH, AFM .
APPLIED STATISTICS-JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C, 1993, 42 (03) :443-459
[6]   MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].
DEMPSTER, AP ;
LAIRD, NM ;
RUBIN, DB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38
[7]  
Gelfand A.E., 2000, GEN LINEAR MODELS, P3
[8]  
Gelman A., 1997, ANN APPL PROBAB, V7, P110, DOI DOI 10.1214/AOAP/1034625254
[9]  
HASTINGS WK, 1970, BIOMETRIKA, V57, P97, DOI 10.1093/biomet/57.1.97
[10]   ON BAYESIAN-ANALYSIS OF GENERALIZED LINEAR-MODELS USING JEFFREYS PRIOR [J].
IBRAHIM, JG ;
LAUD, PW .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1991, 86 (416) :981-986