After providing a systematic outline of the stochastic genesis of the Poisson–Tweedie distribution, some computational issues are considered. More specifically, we introduce a closed form for the probability function, as well as its corresponding integral representation which may be useful for large argument values. Several algorithms for generating Poisson–Tweedie random variates are also suggested. Finally, count data connected to the citation profiles of two statistical journals are modeled and analyzed by means of the Poisson–Tweedie distribution
Correlated multivariate Poisson and binary variables occur naturally in medical, biological and epid...
Tweedie\u27s Compound Poisson model is a popular method to model data with probability mass at zero ...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
After providing a systematic outline of the stochastic genesis of the Poisson–Tweedie distribution, ...
<p>A new distribution (the v-Poisson) and its conjugate density are introduced and explored using co...
Within the theory of non-negative integer valued multivariate infinitely divisible distributions, th...
The main reason for the limited use of multivariate discrete models is the difficulty in calculating...
AbstractThe paper discusses three recently-developed algorithms for generating Poisson(λ) random var...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Di...
AbstractMultivariate Poisson random variables subject to linear integer constraints arise in several...
The Poisson distribution is a distribution commonly used in statistics. It also plays a central role...
This research is focused on the development of exact, uniformly fast computer algorithms for generat...
Three new distributions are derived for sums of independent truncated Poisson variates, namely, the ...
This article explores a Bayesian analysis of a generalization of the Poisson distribution. By choice...
The random variable X taking values 0,1,2,…,x,… with probabilities pλ(x) = e−λλx/x!, where λ∈R0+ is ...
Correlated multivariate Poisson and binary variables occur naturally in medical, biological and epid...
Tweedie\u27s Compound Poisson model is a popular method to model data with probability mass at zero ...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...
After providing a systematic outline of the stochastic genesis of the Poisson–Tweedie distribution, ...
<p>A new distribution (the v-Poisson) and its conjugate density are introduced and explored using co...
Within the theory of non-negative integer valued multivariate infinitely divisible distributions, th...
The main reason for the limited use of multivariate discrete models is the difficulty in calculating...
AbstractThe paper discusses three recently-developed algorithms for generating Poisson(λ) random var...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Di...
AbstractMultivariate Poisson random variables subject to linear integer constraints arise in several...
The Poisson distribution is a distribution commonly used in statistics. It also plays a central role...
This research is focused on the development of exact, uniformly fast computer algorithms for generat...
Three new distributions are derived for sums of independent truncated Poisson variates, namely, the ...
This article explores a Bayesian analysis of a generalization of the Poisson distribution. By choice...
The random variable X taking values 0,1,2,…,x,… with probabilities pλ(x) = e−λλx/x!, where λ∈R0+ is ...
Correlated multivariate Poisson and binary variables occur naturally in medical, biological and epid...
Tweedie\u27s Compound Poisson model is a popular method to model data with probability mass at zero ...
(J V k. Approximate algorithms have long been the only available methods for generating Poisson rand...