Elicitation is the process of extracting expert knowledge about some unknown quantity or
quantities, and formulating that information as a probability distribution. Elicitation is …

Bayesian inference is an important statistical tool that is increasingly being used by
ecologists. In a Bayesian analysis, information available before a study is conducted is …

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines
the Bayesian and frequentist methods of conducting data analyses. The book provides the …

Prior Knowledge Elicitation: The Past, Present, and Future Page 1 Bayesian Analysis (2024)
19, Number 4, pp. 1129–1161 Prior Knowledge Elicitation: The Past, Present, and Future ∗ …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

Despite their wide use in scientific journals such as The Journal of Wildlife Management,
statistical hypothesis tests add very little value to the products of research. Indeed, they …

Ecological research and the way that ecologists use statistics continues to change rapidly.
This second edition of the best-selling Design and Analysis of Ecological Experiments leads …

Environmental decision-making is extremely complex due to the intricacy of the systems
considered and the competing interests of multiple stakeholders. Additional research is …

We developed procedures for using Bayesian belief networks (BBNs) to model habitat and
population viability of selected at-risk fish and wildlife species. The BBN models represent …

Nature conservation has changed from an idealistic philosophy to a serious technology (J.
Harper, 1992) A review is given of the major conceptual changes that have taken place …