Untangling direct species associations from indirect mediator species effects with graphical models
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Untangling direct species associations from indirect mediator species effects with graphical models
Authors
Keywords
-
Journal
Methods in Ecology and Evolution
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-07-01
DOI
10.1111/2041-210x.13247
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A pathway for multivariate analysis of ecological communities using copulas
- (2019) Marti J. Anderson et al. Ecology and Evolution
- Unravelling changing interspecific interactions across environmental gradients using Markov random fields
- (2018) Nicholas J. Clark et al. ECOLOGY
- A general algorithm for covariance modeling of discrete data
- (2018) Gordana C. Popovic et al. JOURNAL OF MULTIVARIATE ANALYSIS
- Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions
- (2018) Carsten F. Dormann et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Variational Approximations for Generalized Linear Latent Variable Models
- (2017) Francis K. C. Hui et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- The PIT-trap—A “model-free” bootstrap procedure for inference about regression models with discrete, multivariate responses
- (2017) David I. Warton et al. PLoS One
- A network approach for inferring species associations from co-occurrence data
- (2016) Naia Morueta-Holme et al. ECOGRAPHY
- Inferring species interactions from co-occurrence data with Markov networks
- (2016) David J. Harris ECOLOGY
- Three points to consider when choosing a LM or GLM test for count data
- (2016) David I. Warton et al. Methods in Ecology and Evolution
- Inferring biotic interactions from proxies
- (2015) Ignacio Morales-Castilla et al. TRENDS IN ECOLOGY & EVOLUTION
- So Many Variables: Joint Modeling in Community Ecology
- (2015) David I. Warton et al. TRENDS IN ECOLOGY & EVOLUTION
- Generating realistic assemblages with a joint species distribution model
- (2015) David J. Harris Methods in Ecology and Evolution
- Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM)
- (2014) Laura J. Pollock et al. Methods in Ecology and Evolution
- To mix or not to mix: comparing the predictive performance of mixture models vs. separate species distribution models
- (2013) Francis K. C. Hui et al. ECOLOGY
- Global shifts towards positive species interactions with increasing environmental stress
- (2013) Qiang He et al. ECOLOGY LETTERS
- Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks
- (2012) Shiliang Sun et al. JOURNAL OF TRANSPORTATION ENGINEERING
- New Zealand's forest and shrubland communities: a quantitative classification based on a nationally representative plot network
- (2011) Susan K. Wiser et al. APPLIED VEGETATION SCIENCE
- Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
- (2010) Shuai Huang et al. NEUROIMAGE
- Do not log-transform count data
- (2010) Robert B. O’Hara et al. Methods in Ecology and Evolution
- Regularized estimation of large-scale gene association networks using graphical Gaussian models
- (2009) Nicole Krämer et al. BMC BIOINFORMATICS
- The empirical Bayes approach as a tool to identify non-random species associations
- (2009) Nicholas J. Gotelli et al. OECOLOGIA
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started