Fossil pollen records are well-established indicators of past vegetation changes. The
prevalence of pollen across environmental settings including lakes, wetlands, and marine …

We present a method and software for reconstructing palaeoclimate from pollen data with a
focus on accounting for and reducing uncertainty. The tools we use include: forward models …

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 alternative …

We propose and fit a Bayesian model to infer palaeoclimate over several thousand years.
The data that we use arise as ancient pollen counts taken from sediment cores together with …

We review the statistical methods currently in use to estimate past changes in climate. These
methods encompass the full gamut of statistical modeling approaches, ranging from simple …

Estimating chronological uncertainty is a critical but often neglected prerequisite in
palaeoclimatological reconstructions and core comparisons. We describe a hierarchical …

Fossil‐based palaeoclimate reconstruction is an important area of ecological science that
has gained momentum in the backdrop of the global climate change debate. The …

Multivariate compositional count data arise in many applications including ecology,
microbiology, genetics and paleoclimate. A frequent question in the analysis of multivariate …

In this article we consider the distribution arising when two zero-inflated Poisson count
processes are constrained by their sum total, resulting in a novel zero & $ N $-inflated …

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 …