We consider prediction and uncertainty analysis for systems which are approximated using
complex mathematical models. Such models, implemented as computer codes, are often …

Deterministic simulation models are used in many areas of science, engineering, and policy
making. Typically, these are complex models that attempt to capture underlying mechanisms …

Confidence intervals for a single parameter are spanned by quantiles of a confidence
distribution, and one‐sided p‐values are cumulative confidences. Confidence distributions …

We study the (Ito) stochastic differential equation [Formula: see text] as a model for
population growth in a stochastic environment with finite carrying capacity K> 0. Here r and α …

An encompassing prior (EP) approach to facilitate Bayesian model selection for nested
models with inequality constraints has been previously proposed. In this approach, samples …

Stock Synthesis (SS) is a likelihood-based statistical catch-at-age modeling environment
allowing multiple data sources to be used to characterize population dynamics through time …

Following an introduction to the nature of fisheries catches and their information content, a
new development of CMSY, a data-limited stock assessment method for fishes and …

Meta‐analysis of rare event data has recently received increasing attention due to the
challenging issues rare events pose to traditional meta‐analytic methods. One specific way …

We formalize the idea of probability distributions that lead to reliable predictions about some,
but not all aspects of a domain. The resulting notion of 'safety'provides a fresh perspective …

Passive acoustic monitoring (PAM) offers considerable potential for density estimation of
cryptic cetaceans, such as beaked whales. However, comparative studies on the accuracy of …