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boral – Bayesian Ordination and Regression Analysis of Multivariate Abundance Data in r

Methods in ecology and evolution, 2016-06, Vol.7 (6), p.744-750

2016

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So Many Variables: Joint Modeling in Community Ecology

Trends in ecology & evolution (Amsterdam), 2015-12, Vol.30 (12), p.766-779

2015

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Model‐based approaches to unconstrained ordination

Methods in ecology and evolution, 2015-04, Vol.6 (4), p.399-411

2015

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Fine-scale hydrological niche differentiation through the lens of multi-species co-occurrence models

The Journal of ecology, 2015-09, Vol.103 (5), p.1264-1275

2015

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Finite Mixture of Regression Modeling for High-Dimensional Count and Biomass Data in Ecology

Journal of agricultural, biological, and environmental statistics, 2013-09, Vol.18 (3), p.357-375

2013

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Order selection in finite mixture models: complete or observed likelihood information criteria?

Biometrika, 2015-09, Vol.102 (3), p.724-730

2015

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The use of generalized linear mixed models to investigate postmortem lipids in textiles

iScience, 2023-08, Vol.26 (8), p.107371-107371, Article 107371

2023

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On goodness‐of‐fit measures for Poisson regression models

Australian & New Zealand journal of statistics, 2020-09, Vol.62 (3), p.340-366

2020

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The arcsine is asinine: the analysis of proportions in ecology

Ecology (Durham), 2011-01, Vol.92 (1), p.3-10

2011

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gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r

Methods in ecology and evolution, 2019-12, Vol.10 (12), p.2173-2182

2019

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Simultaneous coefficient clustering and sparsity for multivariate mixed models

Journal of computational and graphical statistics, 2024-09, p.1-20

2024

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Joint species distribution models with species correlations and imperfect detection

Ecology (Durham), 2019-08, Vol.100 (8), p.1-14

2019

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Soil seed banks provide a storage effect in post-logging regrowth forests of southeastern Australia

Forest ecology and management, 2023-11, Vol.548, p.121389, Article 121389

2023

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Efficient estimation of generalized linear latent variable models

PloS one, 2019-05, Vol.14 (5), p.e0216129

2019

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Homogeneity pursuit and variable selection in regression models for multivariate abundance data

Biometrics, 2024-01, Vol.80 (1)

2024

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On the use of a penalized quasilikelihood information criterion for generalized linear mixed models

Biometrika, 2021-06, Vol.108 (2), p.353-365

Hui, Francis K C

2021

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Predicting niche overlap with model‐based ordination

Ecography (Copenhagen), 2024-04, Vol.2024 (4), p.n/a

2024

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GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1252-1263

2023

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Joint Selection in Mixed Models using Regularized PQL

Journal of the American Statistical Association, 2017-07, Vol.112 (519), p.1323-1333

2017

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Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays

Journal of machine learning research, 2022-11, Vol.23

2022

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Order Selection and Sparsity in Latent Variable Models via the Ordered Factor LASSO

Biometrics, 2018-12, Vol.74 (4), p.1311-1319

2018

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Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models

Environmetrics (London, Ont.), 2021-09, Vol.32 (6), p.n/a

2021

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Untangling direct species associations from indirect mediator species effects with graphical models

Methods in ecology and evolution, 2019-09, Vol.10 (9), p.1571-1583

2019

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A double fixed rank kriging approach to spatial regression models with covariate measurement error

Environmetrics (London, Ont.), 2023-02, Vol.34 (1), p.n/a

2023

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boral – Bayesian Ordination and Regression Analysis of Multivariate Abundance Data in r

So Many Variables: Joint Modeling in Community Ecology

Model‐based approaches to unconstrained ordination

Fine-scale hydrological niche differentiation through the lens of multi-species co-occurrence models

Finite Mixture of Regression Modeling for High-Dimensional Count and Biomass Data in Ecology

Order selection in finite mixture models: complete or observed likelihood information criteria?

The use of generalized linear mixed models to investigate postmortem lipids in textiles

On goodness‐of‐fit measures for Poisson regression models

The arcsine is asinine: the analysis of proportions in ecology

gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r

Simultaneous coefficient clustering and sparsity for multivariate mixed models

Joint species distribution models with species correlations and imperfect detection

Soil seed banks provide a storage effect in post-logging regrowth forests of southeastern Australia

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

Efficient estimation of generalized linear latent variable models

Homogeneity pursuit and variable selection in regression models for multivariate abundance data

On the use of a penalized quasilikelihood information criterion for generalized linear mixed models

Predicting niche overlap with model‐based ordination

GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data

Joint Selection in Mixed Models using Regularized PQL

Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays

Order Selection and Sparsity in Latent Variable Models via the Ordered Factor LASSO

Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models

Untangling direct species associations from indirect mediator species effects with graphical models

A double fixed rank kriging approach to spatial regression models with covariate measurement error

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