2 citations · 4 across the 5 of their papers we have counts for
5 papers
Modelling excess zeros in count data: A new perspective on modelling approaches
John Haslett, Andrew C. Parnell, John Hinde +1
We consider the analysis of count data in which the observed frequency of zero counts is unusually large, typically with respect to the Poisson distribution. We focus on two altern…
A general framework for modelling zero inflation
John Haslett, Andrew Parnell, James Sweeney
We propose a new framework for the modelling of count data exhibiting zero inflation (ZI). The main part of this framework includes a new and more general parameterisation for ZI m…
Zero & -inflated overdispersed binomial models for sum-constrained Poisson count processes
James Sweeney, John Haslett, Dipankar Bandyopadhyay +2
A frequent challenge encountered with compositional ecological data is how to interpret and model data with a high proportion of zeros and 's. Such data frequently occur in ecol…
Joint Inference of Misaligned Irregular Time Series with Application to Greenland Ice Core Data
Thinh K. Doan, Andrew C. Parnell, John Haslett
Ice cores provide insight into the past climate over many millennia. Due to ice compaction, the raw data for any single core are irregular in time. Multiple cores have different ir…
On Bayesian Modelling of the Uncertainties in Palaeoclimate Reconstruction
Andrew C. Parnell, James Sweeney, Thinh K. Doan +4
We outline a model and algorithm to perform inference on the palaeoclimate and palaeoclimate volatility from pollen proxy data. We use a novel multivariate non-linear non-Gaussian…