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References from Using informative priors to account for identifiability issues in occupancy models with identification errors. Local targets link to admitted publications; unresolved targets remain external evidence.
Towards estimating marine wildlife abundance using aerial surveys and deep learning with hierarchical classifications subject to error
10.1101/2023.02.20.529272 · 2023 · External reference
The use of Bayesian priors in Ecology: The good, the bad and the not great
10.1111/2041-210x.13407 · 2020 · External reference
Accounting for automated identification errors in acoustic surveys
10.1111/2041-210x.13198 · 2019 · External reference
A new statistical approach for identifying rare species under imperfect detection
10.1111/ddi.13495 · 2022 · External reference
Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes
10.1111/1365-2664.12432 · 2015 · External reference
Improving distribution data of threatened species by combining acoustic monitoring and occupancy modelling
10.1111/2041-210x.12599 · 2016 · External reference
Modeling false positive detections in species occurrence data under different study designs
10.1890/14-1507.1 · 2015 · External reference
Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models
10.1890/07-1886.1 · 2009 · External reference
Determining the parametric structure of models
10.1016/j.mbs.2010.08.004 · 2010 · External reference
Uses and Misuses of Environmental DNA in Biodiversity Science and Conservation
10.1146/annurev-ecolsys-110617-062306 · 2018 · External reference
Quantifying data quality in a citizen science monitoring program: False negatives, false positives and occupancy trends
10.1111/csp2.54 · 2019 · External reference
Integrating species distribution and occupancy modeling to study hellbender (Cryptobranchus alleganiensis) occurrence based on eDNA surveys
10.1016/j.biocon.2020.108787 · 2020 · External reference
From molecules to management: Adopting DNA-based methods for monitoring biological invasions in aquatic environments
10.1016/j.envres.2011.02.001 · 2011 · External reference
Geographically Assisted Elicitation of Expert Opinion for Regression Models
10.1214/07-ba205 · 2007 · External reference
Evaluation of detection probabilities at the water-filtering and initial PCR steps in environmental DNA metabarcoding using a multispecies site occupancy model
10.1038/s41598-019-40233-1 · 2019 · External reference
An approach to rapid processing of camera trap images with minimal human input
10.1002/ece3.7970 · 2021 · External reference
Methods for Eliciting Informative Prior Distributions: A Critical Review
10.1287/deca.2022.0451 · External reference
Occupancy models for data with false positive and false negative errors and heterogeneity across sites and surveys
10.1111/2041-210x.12442 · 2015 · External reference
Component processes of detection probability in camera-trap studies: understanding the occurrence of false-negatives
10.1007/s13364-020-00478-y · 2020 · External reference
A framework for estimating the sensitivity of eDNA surveys
10.1111/1755-0998.12483 · 2016 · External reference
Trade-off between deep learning for species identification and inference about predator-prey co-occurrence
10.57750/yfm2-5f45 · 2022 · External reference
Methods for investigating parameter redundancy
10.32800/abc.2004.27.0561 · 2004 · External reference
A comparison of biomonitoring methodologies for surf zone fish communities
10.1371/journal.pone.0260903 · 2023 · External reference
Critical considerations for the application of environmental DNA methods to detect aquatic species
10.1111/2041-210x.12595 · 2016 · External reference
Integrating multiple sign types to improve occupancy estimation for inconspicuous species
10.1002/ece3.10019 · 2023 · External reference
Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors
10.1111/rssc.12390 · 2020 · External reference
Dealing with false-positive and false-negative errors about species occurrence at multiple levels
10.1111/2041-210x.12743 · 2017 · External reference
Novel community data in ecology-properties and prospects
10.1016/j.tree.2023.09.017 · 2024 · External reference
Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi‐species comparison
10.1002/ece3.4878 · 2019 · External reference
Environmental DNA (eDNA) Sampling Improves Occurrence and Detection Estimates of Invasive Burmese Pythons
10.1371/journal.pone.0121655 · 2015 · External reference
Diagnostic assays and sampling protocols for the detection of Batrachochytrium dendrobatidis
10.3354/dao073175 · 2007 · External reference
Tracking an invasion front with environmental DNA
10.1002/eap.2561 · 2022 · External reference
Site-occupancy modelling as a novel framework for assessing test sensitivity and estimating wildlife disease prevalence from imperfect diagnostic tests
10.1111/j.2041-210x.2011.00156.x · 2012 · External reference
Efficacy of machine learning image classification for automated occupancy‐based monitoring
10.1002/rse2.356 · 2023 · External reference
Estimating site occupancy rates when detection probabilities are less than one
10.1890/0012-9658(2002)083[2248:esorwd]2.0.co;2 · 2002 · External reference
A Systematic Review of Sources of Variability and Uncertainty in eDNA Data for Environmental Monitoring
10.3389/fevo.2020.00135 · 2020 · External reference
Profiting from prior information in Bayesian analyses of ecological data
10.1111/j.1365-2664.2005.01101.x · 2005 · External reference
Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections
10.1890/09-1287.1 · 2010 · External reference
Seeking a second opinion: uncertainty in disease ecology: Uncertainty in disease ecology
10.1111/j.1461-0248.2010.01472.x · 2010 · External reference
To model or not to model: false positive detection error in camera surveys
10.1002/jwmg.22365 · 2023 · External reference
Improving occupancy estimation when two types of observational error occur: non-detection and species misidentification
10.1890/10-1396.1 · 2011 · External reference
Using informative priors to account for identifiability issues in occupancy models with identification errors
10.5281/zenodo.13712490 · 2024 · External reference
The neglected tool in the Bayesian ecologist's shed: a case study testing informative priors' effect on model accuracy
10.1002/ece3.1346 · 2015 · External reference
NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling (version 1.2.0)
10.5281/zenodo.1211190 · 2024 · External reference
Multi-scale occupancy estimation and modelling using multiple detection methods
10.1111/j.1365-2664.2008.01509.x · 2008 · External reference
A deep active learning system for species identification and counting in camera trap images
10.1111/2041-210x.13504 · 2021 · External reference
A comment on priors for Bayesian occupancy models
10.1371/journal.pone.0192819 · 2018 · External reference
Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data
10.1016/j.ecolind.2018.05.010 · 2018 · External reference
Do occupancy or detection rates from camera traps reflect deer density?
10.1093/jmammal/gyx128 · 2017 · External reference
Machine learning and deep learning—A review for ecologists
10.1111/2041-210x.14061 · 2023 · External reference
The DeepFaune initiative: a collaborative effort towards the automatic identification of European fauna in camera trap images
10.1007/s10344-023-01742-7 · 2023 · External reference
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
10.1111/1365-2435.14275 · 2023 · External reference
Generalized Site Occupancy Models Allowing for False Positive and False Negative Errors
10.1890/0012-9658(2006)87[835:gsomaf]2.0.co;2 · 2006 · External reference
Environmental DNA (eDNA): Powerful technique for biodiversity conservation
10.1016/j.jnc.2022.126325 · 2023 · External reference
Site occupancy models in the analysis of environmental DNA presence/absence surveys: a case study of an emerging amphibian pathogen
10.1111/2041-210x.12052 · 2013 · External reference
Recognition of European mammals and birds in camera trap images using deep neural networks
10.1049/cvi2.12294 · 2024 · External reference
Autonomous recording units in avian ecological research: current use and future applications
10.5751/ace-00974-120114 · 2017 · External reference
Estimating species misclassification with occupancy dynamics and encounter rates: A semi‐supervised, individual‐level approach
10.1111/2041-210x.13858 · 2022 · External reference
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
10.1038/sdata.2015.26 · 2015 · External reference
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2
10.1002/ece3.6692 · 2020 · External reference
Machine learning to classify animal species in camera trap images: Applications in ecology
10.1111/2041-210x.13120 · 2019 · External reference
Use of Site Occupancy Models to Estimate Prevalence of Myxobolus cerebralis Infection in Trout
10.1577/h06-016.1 · 2007 · External reference
Monitoring endangered freshwater biodiversity using environmental DNA
10.1111/j.1365-294x.2011.05418.x · 2012 · External reference
Improving Precision and Reducing Bias in Biological Surveys: Estimating False-Negative Error Rates
10.1890/02-5078 · 2003 · External reference
An evaluation of platforms for processing camera-trap data using artificial intelligence
10.1111/2041-210x.14044 · 2023 · External reference
The effectiveness and cost of camera traps for surveying small reptiles and critical weight range mammals: A comparison with labour-intensive complementary methods
10.1071/wr15054 · 2015 · External reference
Wildlife Insights
External reference
The importance of including imperfect detection models in eDNA experimental design
10.1111/1755-0998.12531 · 2016 · External reference
Acoustic monitoring for conservation in tropical forests: examples from forest elephants
10.1111/2041-210x.12730 · 2017 · External reference
Elicitation of a Beta Prior for Bayesian Inference in Clinical Trials
10.1002/bimj.200710390 · 2008 · External reference
MCMCvis: Tools to visualize, manipulate, and summarize MCMC output
10.21105/joss.00640 · 2018 · External reference
Zooniverse
External reference
Accounting for false positives and negatives in monitoring data from sensor networks and eDNA
10.24072/pci.ecology.100699 · External reference
The Use of Automated Bioacoustic Recorders to Replace Human Wildlife Surveys: An Example Using Nightjars
10.1371/journal.pone.0102770 · 2014 · External reference
