Understanding how and why certain communities bear a disproportionate burden of disease
is challenging due to the scarcity of data on these communities. Surveys provide a useful …

Composite Pareto distributions are flexible as the models allow for data to be described by
two distributions: a Pareto distribution for the data above a threshold value and another …

Multistate life table methods are an important tool for producing easily understood measures
of population health. Most contemporary uses of these methods involve sample data, thus …

TIP curves are cumulative poverty gap curves used for representing the three different
aspects of poverty: incidence, intensity and inequality. The paper provides Bayesian …

We commonly encounter the problem of identifying an optimally weight-adjusted version of
the empirical distribution of observed data, adhering to predefined constraints on the …

Background: The initiation age and prevalence of cigarette smoking are two important
parameters in any smoking-related policymaking domain. Methods: Dataset was extracted …

Using Household, Income and Labour Dynamics in Australia (HILDA) data for 2001, 2006,
2010, 2014 and 2017, we compute posterior probabilities for dominance for all pairwise …

We commonly encounter the problem of identifying an optimally weight adjusted version of
the empirical distribution of observed data, adhering to predefined constraints on the …

Using both single-index measures and stochastic dominance concepts, we show how
Bayesian inference can be used to make multivariate welfare comparisons. A four …

Dietary assessments provide the snapshots of population-based dietary habits. Questions
remain about how generalisable those snapshots are in national survey data, where certain …