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20052022
most citedState-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems

146 citations · 615 across the 23 of their papers we have counts for

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Showing q-bio.QMShow all

12 papers · 1 filter

q-bio.QM2022

Simulating how animals learn: a new modelling framework applied to the process of optimal foraging

Peter R. Thompson, Melodie Kunegel-Lion, Mark A. Lewis

Animal learning has interested ecologists and psychologists for over a century. Mathematical models that explain how animals store and recall information have gained attention rece…

q-bio.QM2021

Boosting propagule transport models with individual-specific data from mobile apps

Samuel M. Fischer, Pouria Ramazi, Sean Simmons +2

Management of invasive species and pathogens requires information about the traffic of potential vectors. Such information is often taken from vector traffic models fitted to surve…

q-bio.QM2021★ 13 cited

Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling

Peter R. Thompson, Andrew E. Derocher, Mark A. Edwards +1

1. Spatial memory plays a role in the way animals perceive their environments, resulting in memory-informed movement patterns that are observable to ecologists. Developing mathemat…

q-bio.QM2020★ 13 cited

Managing aquatic invasions: optimal locations and operating times for watercraft inspection stations

Samuel M. Fischer, Martina Beck, Leif-Matthias Herborg +1

Aquatic invasive species (AIS) cause significant ecological and economic damages around the world. A major spread mechanism for AIS is traffic of boaters transporting their watercr…

q-bio.QM2019★ 31 cited

Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings

Jude D. Kong, Hao Wang, Tariq Siddique +4

Microbial metabolism of fugitive hydrocarbons produces greenhouse gas (GHG) emissions from oil sands tailings ponds (OSTP) and end pit lakes (EPL) that retain semisolid wastes from…

q-bio.QM2015

Integrated step selection analysis: bridging the gap between resource selection and animal movement

Tal Avgar, Jonathan R. Potts, Mark A. Lewis +1

A resource selection function is a model of the likelihood that an available spatial unit will be used by an animal, given its resource value. But how do we appropriately define av…