111 citations · 126 across the 6 of their papers we have counts for
6 papers
A Comparison for Non-Specialists of Workflow Steps and Similarity of Factor Rankings for Several Global Sensitivity Analysis Methods
Ken Newman, Shaini Naha, Leah Jackson-Blake +3
Global sensitivity analysis (GSA) is a recommended step in the use of computer simulation models. GSA quantifies the relative importance of model inputs on outputs (Factor Ranking)…
Adding structure to generalized additive models, with applications in ecology
David L Miller, Ken Newman, Thomas Cornulier
Generalized additive models (GAMs) connecting a set of scalar covariates that map 1-1 to a response are commonly employed in ecology and beyond. However, covariates are often inher…
Logistic regression models: practical induced prior specification
Ken B. Newman, Cristiano Villa, Ruth King
Bayesian inference for statistical models with a hierarchical structure is often characterized by specification of priors for parameters at different levels of the hierarchy. When…
A guide to state-space modeling of ecological time series
Marie Auger-Méthé, Ken Newman, Diana Cole +8
State-space models (SSMs) are an important modeling framework for analyzing ecological time series. These hierarchical models are commonly used to model population dynamics, animal…
Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data
Leo Polansky, Ken B. Newman, Lara Mitchell
State-space models (SSMs) are a popular tool for modeling animal abundances. Inference difficulties for simple linear SSMs are well known, particularly in relation to simultaneous…
Embedding Population Dynamics Models in Inference
Stephen T. Buckland, Ken B. Newman, Carmen Fernández +2
Increasing pressures on the environment are generating an ever-increasing need to manage animal and plant populations sustainably, and to protect and rebuild endangered populations…