activity
20102024
most citedPoisson point process models solve the "pseudo-absence problem" for presence-only data in ecology

250 citations · 386 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2024★ 4 cited

Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB

Maeve McGillycuddy, Gordana Popovic, Benjamin M. Bolker +1

Multivariate random effects with unstructured variance-covariance matrices of large dimensions, , can be a major challenge to estimate. In this paper, we introduce a new impleme…

q-bio.PE2024★ 89 cited

Novel community data in ecology -- properties and prospects

Florian Hartig, Nerea Abrego, Alex Bush +14

New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales…

stat.ME2022

Global simulation envelopes for diagnostic plots in regression models

David I. Warton

Residual plots are often used to interrogate regression model assumptions, but interpreting them requires an understanding of how much sampling variation to expect when assumptions…

stat.ME2022

How many sites? Methods to assist design decisions when collecting multivariate data in ecology

Ben Maslen, Gordana Popovic, Adriana Vergés +2

1. Sample size estimation through power analysis is a fundamental tool in planning an ecological study, yet there are currently no well-established procedures for when multivariate…

cs.LG2020★ 9 cited

Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays

Łukasz Kidziński, Francis K. C. Hui, David I. Warton +1

Unmeasured or latent variables are often the cause of correlations between multivariate measurements, which are studied in a variety of fields such as psychology, ecology, and medi…

stat.AP2015★ 34 cited

Multi-species distribution modeling using penalized mixture of regressions

Francis K. C. Hui, David I. Warton, Scott D. Foster

Multi-species distribution modeling, which relates the occurrence of multiple species to environmental variables, is an important tool used by ecologists for both predicting the di…

stat.AP2010★ 250 cited

Poisson point process models solve the "pseudo-absence problem" for presence-only data in ecology

David I. Warton, Leah C. Shepherd

Presence-only data, point locations where a species has been recorded as being present, are often used in modeling the distribution of a species as a function of a set of explanato…