Nondetection sampling bias in marked presence-only data

Finite-sample equivalence in statistical models for presence-only data

(2013) William Fithian et al.   Annals of Applied Statistics

Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology

(2013) Ian W. Renner et al.   BIOMETRICS

The importance of correcting for sampling bias in MaxEnt species distribution models

(2013) Stephanie Kramer-Schadt et al.   DIVERSITY AND DISTRIBUTIONS

Inference from presence-only data; the ongoing controversy

(2013) Trevor Hastie et al.   ECOGRAPHY

How long should we ignore imperfect detection of species in the marine environment when modelling their distribution?

(2013) Jacquomo Monk   FISH AND FISHERIES

Advancing our thinking in presence-only and used-available analysis

(2013) David Warton et al.   JOURNAL OF ANIMAL ECOLOGY

Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models

(2013) Arco J. van Strien et al.   JOURNAL OF APPLIED ECOLOGY

Fitting and Interpreting Occupancy Models

(2013) Alan H. Welsh et al.   PLoS One

Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors

(2012) Robert M. Dorazio   BIOMETRICS

Eliciting Expert Knowledge in Conservation Science

(2012) TARA G. MARTIN et al.   CONSERVATION BIOLOGY

Presence-only modelling using MAXENT: when can we trust the inferences?

(2012) Charles B. Yackulic et al.   Methods in Ecology and Evolution

Does accounting for imperfect detection improve species distribution models?

(2011) Christopher T. Rota et al.   ECOGRAPHY

Towards the modelling of true species distributions

(2011) Marc Kéry   JOURNAL OF BIOGEOGRAPHY

Comparative interpretation of count, presence-absence and point methods for species distribution models

(2011) Geert Aarts et al.   Methods in Ecology and Evolution

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

(2010) David I. Warton et al.   Annals of Applied Statistics

How much can we learn about missing data?: an exploration of a clinical trial in psychiatry

(2010) Dan Jackson et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

Sensitivity of species-distribution models to error, bias, and model design: An application to resource selection functions for woodland caribou

(2008) Chris J. Johnson et al.   ECOLOGICAL MODELLING

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY