146 citations · 163 across the 5 of their papers we have counts for
5 papers
Species distribution modelling with spatio-temporal nearest neighbour Gaussian processes
Ethan Lawler, Chris Field, Joanna Mills Flemming
1.) Spatio-temporal datasets that are difficult to analyze are common in ecological surveys. There are software packages available to analyze these datasets, but many of them requi…
Robust Estimation for Discrete-Time State Space Models
William H. Aeberhard, Eva Cantoni, Chris Field +3
State space models (SSMs) are now ubiquitous in many fields and increasingly complicated with observed and unobserved variables often interacting in non-linear fashions. The crucia…
The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
Ethan Lawler, Kim Whoriskey, William H. Aeberhard +2
One of the central interests of animal movement ecology is relating movement characteristics to behavioural characteristics. The traditional discrete-time statistical tool for infe…
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems
Marie Auger-Méthé, Chris Field, Christoffer M. Albertsen +4
State-space models (SSMs) are increasingly used in ecology to model time-series such as animal movement paths and population dynamics. This type of hierarchical model is often stru…
Relative errors for bootstrap approximations of the serial correlation coefficient
Chris Field, John Robinson
We consider the first serial correlation coefficient under an AR(1) model where errors are not assumed to be Gaussian. In this case it is necessary to consider bootstrap approximat…