This paper develops semiparametric Bayesian estimation approach for Poisson regression models with unobserved heterogeneity of unknown density. This approach is computationally efficient and allows automatic adaptation of the approximating density to data during estimation. Simulations show the estimator performs well
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
A variety of methods of modelling overdispersed count data are compared. The methods are classified ...
This paper develops semiparametric Bayesian estimation approach for Poisson regression models with u...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
Count data models have a large number of pratical applications. However there can be several problem...
In this chapter we discuss how Bayesian techniques can be used to estimate the Poisson model with ex...
The dissertation consists of two parts. In the first part we introduce and investigate a class of m...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
The dissertation consists of two parts. In the first part we introduce and investigate a class of m...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
A variety of methods of modelling overdispersed count data are compared. The methods are classified ...
This paper develops semiparametric Bayesian estimation approach for Poisson regression models with u...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
This paper develops a semiparametric estimation approach for mixed count regression models based on ...
Count data models have a large number of pratical applications. However there can be several problem...
In this chapter we discuss how Bayesian techniques can be used to estimate the Poisson model with ex...
The dissertation consists of two parts. In the first part we introduce and investigate a class of m...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
The dissertation consists of two parts. In the first part we introduce and investigate a class of m...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
A variety of methods of modelling overdispersed count data are compared. The methods are classified ...
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