Related references
Note: Only part of the references are listed.The implementation of Bayesian structural additive regression models in multi-city time series air pollution and human health studies
Lung-Chang Chien et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2012)
Spatio-temporal disease mapping using INLA
Birgit Schroedle et al.
ENVIRONMETRICS (2011)
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Finn Lindgren et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
Sensitivity analysis in Bayesian generalized linear mixed models for binary data
Malgorzata Roos et al.
BAYESIAN ANALYSIS (2011)
MODELING LARGE SCALE SPECIES ABUNDANCE WITH LATENT SPATIAL PROCESSES
Avishek Chakraborty et al.
ANNALS OF APPLIED STATISTICS (2010)
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Noel Cressie et al.
ECOLOGICAL APPLICATIONS (2009)
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
Havard Rue et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)
Effects of sample size on the performance of species distribution models
M. S. Wisz et al.
DIVERSITY AND DISTRIBUTIONS (2008)
Spatial smoothing techniques for the assessment of habitat suitability
Thomas Kneib et al.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2008)
Atmospheric forcing on chlorophyll concentration in the Mediterranean
Isidora Katara et al.
HYDROBIOLOGIA (2008)
Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS
Vasilis D. Valavanis et al.
HYDROBIOLOGIA (2008)
Climate Change and the Future of California's Endemic Flora
Scott R. Loarie et al.
PLOS ONE (2008)
Recognizing spatial distribution patterns of grassland insects: neural network approaches
WenJun Zhang et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2008)
Supervised neural network recognition of habitat zones of rice invertebrates
WenJun Zhang
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2007)
Conservation planning in a changing world
Robert L. Pressey et al.
TRENDS IN ECOLOGY & EVOLUTION (2007)
Potential vulnerability of Namaqualand plant diversity to anthropogenic climate change
G. F. Midgley et al.
JOURNAL OF ARID ENVIRONMENTS (2007)
Hierarchical spatial models of abundance and occurrence from imperfect survey data
J. Andrew Royle et al.
ECOLOGICAL MONOGRAPHS (2007)
Bayesian modelling of environmental risk: example using a small area ecological study of coronary heart disease mortality in relation to modelled outdoor nitrogen oxide levels
Robert Haining et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2007)
Strictly proper scoring rules, prediction, and estimation
Tilmann Gneiting et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)
The ability of climate envelope models to predict the effect of climate change on species distributions
Robert J. Hijmans et al.
GLOBAL CHANGE BIOLOGY (2006)
Studies in the history of probability and statistics XLIX On the Matern correlation family
Peter Guttorp et al.
BIOMETRIKA (2006)
Explaining Species Distribution Patterns through Hierarchical Modeling
Alan E. Gelfand et al.
BAYESIAN ANALYSIS (2006)
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
JR Leathwick et al.
FRESHWATER BIOLOGY (2005)
Predicting species distribution: offering more than simple habitat models
A Guisan et al.
ECOLOGY LETTERS (2005)
Generalized linear and generalized additive models in studies of species distributions: setting the scene
A Guisan et al.
ECOLOGICAL MODELLING (2002)
Bayesian measures of model complexity and fit
DJ Spiegelhalter et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2002)
Share Paper
