So many variables: joint modeling in community ecology
Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …
the potential now to specify a statistical model for abundances jointly across many taxa, to …
Powering research through innovative methods for mixtures in epidemiology (PRIME) program: novel and expanded statistical methods
Humans are exposed to a diverse mixture of chemical and non-chemical exposures across
their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure …
their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure …
[LIBRO][B] Joint species distribution modelling: With applications in R
O Ovaskainen, N Abrego - 2020 - books.google.com
Joint species distribution modelling (JSDM) is a fast-develo** field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …
revolutionise how data on ecological communities are analysed and interpreted. Written for …
Uncovering hidden spatial structure in species communities with spatially explicit joint species distribution models
Modern species distribution models account for spatial autocorrelation in order to obtain
unbiased statistical inference on the effects of covariates, to improve the model's predictive …
unbiased statistical inference on the effects of covariates, to improve the model's predictive …
Fast sampling with Gaussian scale mixture priors in high-dimensional regression
We propose an efficient way to sample from a class of structured multivariate Gaussian
distributions. The proposed algorithm only requires matrix multiplications and linear system …
distributions. The proposed algorithm only requires matrix multiplications and linear system …
Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales
We present a hierarchical latent variable model that partitions variation in species
occurrences and co‐occurrences simultaneously at multiple spatial scales. We illustrate how …
occurrences and co‐occurrences simultaneously at multiple spatial scales. We illustrate how …
Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context
Joint species distribution models (JSDM) are increasingly used to analyse community
ecology data. Recent progress with JSDM s has provided ecologists with new tools for …
ecology data. Recent progress with JSDM s has provided ecologists with new tools for …
Visualizing the structure of RNA-seq expression data using grade of membership models
Grade of membership models, also known as “admixture models”,“topic models” or “Latent
Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have …
Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have …
Compressive hyperspectral imaging with side information
A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from
spectrally-compressed measurements. The wavelength-dependent data are coded and then …
spectrally-compressed measurements. The wavelength-dependent data are coded and then …
Adaptive shrinkage in Bayesian vector autoregressive models
Vector autoregressive (VAR) models are frequently used for forecasting and impulse
response analysis. For both applications, shrinkage priors can help improving inference. In …
response analysis. For both applications, shrinkage priors can help improving inference. In …