output
20132026
most citedmomentuHMM: R package for generalized hidden Markov models of animal movement

424 citations

Showing stat.MEShow all

5 papers · 1 filter

stat.ME2020★ 7 cited

A Linear Mixed Model Formulation for Spatio-Temporal Random Processes with Computational Advances for the Separable and Product-Sum Covariances

Michael Dumelle, Jay M. Ver Hoef, Claudio Fuentes +1

We describe spatio-temporal random processes using linear mixed models. We show how many commonly used models can be viewed as special cases of this general framework and pay close…

stat.ME2017

Imputation Approaches for Animal Movement Modeling

Henry R. Scharf, Mevin B. Hooten, Devin S. Johnson

The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to prope…

stat.ME2017

Process convolution approaches for modeling interacting trajectories

Henry R. Scharf, Mevin B. Hooten, Devin S. Johnson +1

Gaussian processes are a fundamental statistical tool used in a wide range of applications. In the spatio-temporal setting, several families of covariance functions exist to accomm…

stat.ME2016★ 1 cited

Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

Y. Yuan, F. E. Bachl, F. Lindgren +5

Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the…

stat.ME2016★ 3 cited

Basis Function Models for Animal Movement

Mevin B. Hooten, Devin S. Johnson

Advances in satellite-based data collection techniques have served as a catalyst for new statistical methodology to analyze these data. In wildlife ecological studies, satellite-ba…