Search Results - "Warton, David"

The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses by Warton, David I, Thibaut, Loïc, Wang, Yi Alice

“…Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are…”
Get full text

Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology by Renner, Ian W, Warton, David I

“…Modeling the spatial distribution of a species is a fundamental problem in ecology. A number of modeling methods have been developed, an extremely popular one…”
Get full text

Model-based control of observer bias for the analysis of presence-only data in ecology by Warton, David I, Renner, Ian W, Ramp, Daniel

“…Presence-only data, where information is available concerning species presence but not species absence, are subject to bias due to observers being more likely…”
Get full text

mvabund– an R package for model‐based analysis of multivariate abundance data by Wang, Yi, Naumann, Ulrike, Wright, Stephen T., Warton, David I.

“…Summary 1. The mvabund package for R provides tools for model‐based analysis of multivariate abundance data in ecology. 2. This includes methods for…”
Get full text

Why You Cannot Transform Your Way Out of Trouble for Small Counts by Warton, David I.

“…While data transformation is a common strategy to satisfy linear modeling assumptions, a theoretical result is used to show that transformation cannot…”
Get full text

Global Simulation Envelopes for Diagnostic Plots in Regression Models by Warton, David I.

“…Residual plots are often used to interrogate regression model assumptions, but interpreting them requires an understanding of how much sampling variation to…”
Get full text

Distance‐based multivariate analyses confound location and dispersion effects by Warton, David I., Wright, Stephen T., Wang, Yi

“…Summary 1. A critical property of count data is its mean–variance relationship, yet this is rarely considered in multivariate analysis in ecology. 2. This…”
Get full text

The arcsine is asinine: the analysis of proportions in ecology by Warton, David I, Hui, Francis K. C

“…The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing…”
Get full text

So Many Variables: Joint Modeling in Community Ecology by Warton, David I., Blanchet, F. Guillaume, O’Hara, Robert B., Ovaskainen, Otso, Taskinen, Sara, Walker, Steven C., Hui, Francis K.C.

“…Technological advances have enabled a new class of multivariate models for ecology, with the potential now to specify a statistical model for abundances…”
Get full text

A general algorithm for error-in-variables regression modelling using Monte Carlo expectation maximization by Stoklosa, Jakub, Hwang, Wen-Han, Warton, David I

“…In regression modelling, measurement error models are often needed to correct for uncertainty arising from measurements of covariates/predictor variables. The…”
Get full text

smatr 3– an R package for estimation and inference about allometric lines by Warton, David I., Duursma, Remko A., Falster, Daniel S., Taskinen, Sara

“…Summary 1. The Standardised Major Axis Tests and Routines (SMATR) software provides tools for estimation and inference about allometric lines, currently widely…”
Get full text

Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software by Dovers, Elliot, Stoklosa, Jakub, Warton, David I.

“…While log-Gaussian Cox process regression models are useful tools for modeling point patterns, they can be technically difficult to fit and require users to…”
Get full text

Efficient estimation of generalized linear latent variable models by Niku, Jenni, Brooks, Wesley, Herliansyah, Riki, Hui, Francis K C, Taskinen, Sara, Warton, David I

“…Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for…”
Get full text

Three points to consider when choosing a LM or GLM test for count data by Warton, David I., Lyons, Mitchell, Stoklosa, Jakub, Ives, Anthony R., Schielzeth, Holger

“…Summary The two most common approaches for analysing count data are to use a generalized linear model (GLM), or transform data, and use a linear model (LM)…”
Get full text

Selecting the model for multiple imputation of missing data: Just use an IC by Noghrehchi, Firouzeh, Stoklosa, Jakub, Penev, Spiridon, Warton, David I.

“…Multiple imputation and maximum likelihood estimation (via the expectation‐maximization algorithm) are two well‐known methods readily used for analyzing data…”
Get full text

Regularized Sandwich Estimators for Analysis of High-Dimensional Data Using Generalized Estimating Equations by Warton, David I.

“…A modification of generalized estimating equations (GEEs) methodology is proposed for hypothesis testing of high-dimensional data, with particular interest in…”
Get full text

gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r by Niku, Jenni, Hui, Francis K. C., Taskinen, Sara, Warton, David I., Goslee, Sarah

“…There has been rapid development in tools for multivariate analysis based on fully specified statistical models or ‘joint models’. One approach attracting a…”
Get full text

Point process models for presence‐only analysis by Renner, Ian W., Elith, Jane, Baddeley, Adrian, Fithian, William, Hastie, Trevor, Phillips, Steven J., Popovic, Gordana, Warton, David I., O'Hara, Robert B.

“…Summary Presence‐only data are widely used for species distribution modelling, and point process regression models are a flexible tool that has considerable…”
Get full text

A novel approach to quantify and locate potential microrefugia using topoclimate, climate stability, and isolation from the matrix by Ashcroft, Michael B., Gollan, John R., Warton, David I., Ramp, Daniel

“…Ecologists are increasingly recognizing the conservation significance of microrefugia, but it is inherently difficult to locate these small patches with…”
Get full text

Untangling direct species associations from indirect mediator species effects with graphical models by Popovic, Gordana C., Warton, David I., Thomson, Fiona J., Hui, Francis K. C., Moles, Angela T., Murrell, David

“…Ecologists often investigate co‐occurrence patterns in multi‐species data in order to gain insight into the ecological causes of observed co‐occurrences. Apart…”
Get full text