Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...

Spatial sampling methods form the backbone of efforts to quantify the distribution and dynamics of environmental resources, ranging from terrestrial biodiversity and soil carbon to freshwater quality ...

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...