Found: 12
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Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology.
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- International Statistical Review, 2024, v. 92, n. 1, p. 43, doi. 10.1111/insr.12542
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- Article
Bayesian design with sampling windows for complex spatial processes.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 2, p. 378, doi. 10.1093/jrsssc/qlad099
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- Article
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks.
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- R Journal, 2023, v. 15, n. 3, p. 26, doi. 10.32614/rj-2023-061
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- Article
clusterBMA: Bayesian model averaging for clustering.
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- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0288000
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- Article
A global perspective on the intrinsic dimensionality of COVID-19 data.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-36116-1
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- Article
Virtual Reef Diver: Enabling People to Help Protect the Great Barrier Reef.
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- Citizen Science: Theory & Practice, 2023, v. 8, n. 1, p. 1, doi. 10.5334/cstp.571
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- Article
Understanding the reliability of citizen science observational data using item response models.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 8, p. 1533, doi. 10.1111/2041-210X.13623
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- Article
Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2021, v. 70, n. 1, p. 147, doi. 10.1111/rssc.12453
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- Article
Bayesian statistics meets sports: a comprehensive review.
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- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 289, doi. 10.1515/jqas-2018-0106
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- Article
Monitoring the Effectiveness of Fatigue Risk Management: A Survey of Pilots' Concerns.
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- Aerospace Medicine & Human Performance, 2018, v. 89, n. 10, p. 889, doi. 10.3357/AMHP.5136.2018
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- Article
Effects of imperfect testing on presence-absence sampling plans.
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- Quality & Reliability Engineering International, 2017, v. 33, n. 6, p. 1197, doi. 10.1002/qre.2182
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- Article
Compressed limit sampling inspection plans for food safety.
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- Applied Stochastic Models in Business & Industry, 2016, v. 32, n. 4, p. 469, doi. 10.1002/asmb.2170
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- Article