In this paper we initially demonstrate that the well-known assumptions for conducting IV-analyses can equivalently be expressed using natural effects…
Estimation of correlation between competing risks has long been known to be an ill-posed problem, due to lack of identifiablity,…
This work is motivated and exemplified by a genetic disorder causing early onset diabetes, blindness and deafness, which is extremely…
Recent technological advances generate an increasing amount of functional data, data where each observation represents a curve or an image…
Next generation sequencing technologies make it possible to survey microbial communities by sequencing nucleic acid material extracted from multiple samples.…
In the field of population genetics there are many measures of genetic diversity and population differentiation. The best known is…
We introduce a new class of priors for Bayesian hypothesis testing, which we name “cake priors”. These priors circumvent Bartlett’s…
Standard time series modelling is dominated by parametric models like ARMA and GARCH models. Even though nonparametric Bayesian inference has…
Complex mechanistic computer models often produce multivariate output. Sensitivity analysis can be used to help understand sources of uncertainty in…