Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses

By Marc Kéry. 2010

451 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/89eac1e38b4a380e8ed142a4dd6caceca221528b

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Citations in the corpus

Do wild ungulates experience higher stress with humans than with large carnivores? (2018, methodology): “To compare the measured values of FGM levels among forest complexes, with regard to the occurrence of large carnivores, we used the generalized linear mixed model (GLMM) fitted to the data in a Bayesian context (Kéry, 2010).”
Advances in Bayesian network modelling: Integration of modelling technologies (2019, methodology): “Continuous BNs can be constructed using programming tools such as UNINET (Cooke et al., 2007; Delgado-Hernández et al., 2012), WinBUGS (Kery, 2010), AgenaRisk ® (Neil et al., 2007), Hugin ® (Madsen et al., 2003), and GeNIe (Druzdzel, 1999).”
Monitoring in the presence of species misidentification: the case of the Eurasian lynx in the Alps (2012, methodology): “Hence, all estimates will be dominated by the information in the data and resemble those obtained when using the maximum likelihood method (Kéry, 2010).”
A brief introduction to mixed effects modelling and multi-model inference in ecology (2018, methodology): “The premise here is simple: when simulating a dataset from a given set of parameter estimates (a model), the fit of the model to those simulated ‘ideal’ data should be comparable to the model’s fit to the real data (Kery 2010).”
Nested by design: model fitting and interpretation in a mixed model era (2013, background): “Methods in Ecology and Evolution © 2012 British Ecological Society, Methods in Ecology and Evolution, 4, 14–24 for the mean number of fledglings in each combination of factor levels.”
Evaluating relative abundance indices for terrestrial herbivores from large-scale camera trap surveys (2018, background): “A large body of statistics has been developed that uses camera trap data to calculate population estimates for uniquely identifiable animals (Karanth, 1995; Kéry, 2010; MacKenzie et al., 2006; Royle & Nichols, 2003).”
Fire severity and landscape context effects on arboreal marsupials (2013, unknown): “We set independent multivariate normal priors for the unknown regression parameters b and a with zero means and covariance matrices proportional to the identity matrix with large variance to indicate lack of prior knowledge about these parameters (Gelman et al., 2003; Kéry, 2010).”
Predicting species distributions from checklist data using site‐occupancy models (2010, background): “The ability of site-occupancy models to account for independent effects of a single covariate on both occurrence and detection is one great asset of this framework (Kéry, 2010).”
Analysing and mapping species range dynamics using occupancy models (2013, background): “…is estimated, thus leading to incorrect inferences regarding habitat relationships (Tyre et al., 2003; Gu & Swihart, 2004; MacKenzie, 2006), a problem which is greatest when detectability is itself a function of the habitat covariates (K ery, 2010; K ery et al., 2010a; K ery & Schaub, 2012).”
Diversification practices reduce organic to conventional yield gap (2015, background): “[47] barley, wheat Denmark 78 no yes yes [48] tomato United States 1 yes yes no [49] maize United States 3 no yes no [50] safflower United States 1 no no no [51] maize Greece 9 no no yes [52] flax Canada 1 no yes yes [53] cotton, chili, wheat, soybean, sorghum, maize India 12 no yes yes”