This paper discusses a generalization of the Dirichlet distribution, the 'hyperdirichlet', in which various types of incomplete observations may be incorporated. It is conjugate to the multinomial distribution when some observations are censored or grouped. The hyperdirichlet R package is introduced and examples given. A number of statistical tests are performed on the example datasets, which are drawn from diverse disciplines including sports statistics, the sociology of climate change, and psephology
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
Thesis (PhD (Mathematical Statistics))--University of Pretoria, 2022.The Dirichlet distribution is a...
Some properties of the Dirichlet and multinomial distributions are provided with a focus towards the...
This vignette is based on Hankin (2010). It discusses a generalization of the Dirichlet distribution...
The Dirichlet distribution appears in many areas of application, which include modelling of composit...
AbstractIn this paper, we discuss some basic distributional and asymptotic properties of the Pearson...
This paper addresses the task of eliciting an informative prior distribution for multinomial models....
This paper addresses the task of eliciting an informative prior distribution for multinomial models....
We derive an efficient method to calculate exceedance probabilities (EP) for the Dirichlet distribut...
This paper is devoted to a fractional generalization of the Dirichlet distribution. The form of the ...
This book focuses on the properties associated with the Dirichlet process, describing its use a prio...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
Thesis (PhD (Mathematical Statistics))--University of Pretoria, 2022.The Dirichlet distribution is a...
Some properties of the Dirichlet and multinomial distributions are provided with a focus towards the...
This vignette is based on Hankin (2010). It discusses a generalization of the Dirichlet distribution...
The Dirichlet distribution appears in many areas of application, which include modelling of composit...
AbstractIn this paper, we discuss some basic distributional and asymptotic properties of the Pearson...
This paper addresses the task of eliciting an informative prior distribution for multinomial models....
This paper addresses the task of eliciting an informative prior distribution for multinomial models....
We derive an efficient method to calculate exceedance probabilities (EP) for the Dirichlet distribut...
This paper is devoted to a fractional generalization of the Dirichlet distribution. The form of the ...
This book focuses on the properties associated with the Dirichlet process, describing its use a prio...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior t...
Thesis (PhD (Mathematical Statistics))--University of Pretoria, 2022.The Dirichlet distribution is a...
Some properties of the Dirichlet and multinomial distributions are provided with a focus towards the...