320 citations · 961 across the 9 of their papers we have counts for
9 papers
The Sampled Moran Genealogy Process
Aaron A. King, Qianying Lin, Edward L. Ionides
We define the Sampled Moran Genealogy Process, a continuous-time Markov process on the space of genealogies with the demography of the classical Moran process, sampled through time…
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…
Panel data analysis via mechanistic models
Carles Bretó, Edward L. Ionides, Aaron A. King
Panel data, also known as longitudinal data, consist of a collection of time series. Each time series, which could itself be multivariate, comprises a sequence of measurements take…
Monte Carlo profile confidence intervals
Edward L. Ionides, Carles Breto, Joonha Park +2
Monte Carlo methods to evaluate and maximize the likelihood function enable the construction of confidence intervals and hypothesis tests, facilitating scientific investigation usi…
Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Aaron A. King, Dao Nguyen, Edward L. Ionides
Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis. The R package pomp provide…
Detecting adaptive evolution in phylogenetic comparative analysis using the Ornstein-Uhlenbeck model
Clayton E. Cressler, Marguerite A. Butler, Aaron A. King
Phylogenetic comparative analysis is an approach to inferring evolutionary process from a combination of phylogenetic and phenotypic data. The last few years have seen increasingly…