Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models
Modeling species distributions over space and time is one of the major research topics in both ecology and conservation biology. Joint Species Distribution models (JSDMs) have recently been introduced as a tool to better model community data, by inferring a residual covariance matrix between species...
Main Authors: | Daria Bystrova, Giovanni Poggiato, Billur Bektaş, Julyan Arbel, James S. Clark, Alessandra Guglielmi, Wilfried Thuiller |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-03-01
|
Series: | Frontiers in Ecology and Evolution |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2021.601384/full |
Similar Items
-
Predict first–assemble later versus assemble first–predict later: Revisiting the dilemma for functional biogeography
by: Gabrielle Deschamps, et al.
Published: (2023-10-01) -
A simple proof of Pitman–Yor’s Chinese restaurant process from its stick-breaking representation
by: Lawless Caroline, et al.
Published: (2019-03-01) -
A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap
by: Marta Galvani, et al.
Published: (2021-01-01) -
Bayesian nonparametric methods and applications in statistical network modelling
by: Miscouridou, X
Published: (2019) -
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images
by: Jessica Sodjo, et al.
Published: (2019-01-01)