Bayesian inference for transportation origin–destination matrices: the Poisson–inverse Gaussian and other Poisson mixtures

K Perrakis, D Karlis, M Cools… - Journal of the Royal …, 2015 - academic.oup.com
Transportation origin–destination analysis is investigated through the use of Poisson
mixtures by introducing covariate-based models which incorporate different transport …

On the measure and the estimation of evenness and diversity

J Ginebra, X Puig - Computational Statistics & Data Analysis, 2010 - Elsevier
Modelling word or species frequency count data through zero truncated Poisson mixture
models allows one to interpret the model mixing distribution as the distribution of the word or …

On zero-truncating and mixing Poisson distributions

J Valero, M Pérez-Casany, J Ginebra - Advances in Applied …, 2010 - cambridge.org
The distributions that result from zero-truncating mixed Poisson (ZTMP) distributions and
those obtained from mixing zero-truncated Poisson (MZTP) distributions are characterised …

Models for discrete epidemiological and clinical data

FC McElduff - 2012 - discovery.ucl.ac.uk
Discrete data, often known as frequency or count data, comprises of observations which can
only take certain separate values, resulting in a more restricted numerical measurement …

Extended truncated Tweedie-Poisson model

J Valero, J Ginebra, M Pérez-Casany - Methodology and Computing in …, 2012 - Springer
It has been argued that by truncating the sample space of the negative binomial and of the
inverse Gaussian-Poisson mixture models at zero, one is allowed to extend the parameter …

A Bayesian analysis of frequency count data

M Font, X Puig, J Ginebra - Journal of Statistical Computation and …, 2013 - Taylor & Francis
The zero truncated inverse Gaussian–Poisson model, obtained by first mixing the Poisson
model assuming its expected value has an inverse Gaussian distribution and then truncating …

An analysis of the concentration of consumer purchasing in FMCG markets

J Kim - 2012 - lbsresearch.london.edu
The 80/20 rule (also known as the Pareto principle/law) states that the top 20% of the
contributors account for 80% of the outcome. This work undertakes a thorough analytic and …

The Sichel model and the mixing and truncation order

X Puig, J Ginebra, M Font - Journal of Applied Statistics, 2010 - Taylor & Francis
The analysis of word frequency count data can be very useful in authorship attribution
problems. Zero-truncated generalized inverse Gaussian–Poisson mixture models are very …

On recovering a mixed Poisson distribution from its left-truncated version

M Pérez-Casany, J Ginebra, J Valero - Statistics & Probability Letters, 2014 - Elsevier
An algorithm is proposed that, starting from the probability generating function of a left-
truncation at k of a mixed Poisson distribution, recovers the first k+ 1 probabilities of the …