|
Random effects misspecification and its consequences for prediction in generalized linear mixed models
|
Computational Statistics and Data Analysis |
2026 |
A |
|
A compositional approach to modeling cause-specific mortality with zero counts
|
Annals of Actuarial Science |
2025 |
A |
|
ON THE EFFICIENCY OF COMPOSITE LIKELIHOOD ESTIMATION FOR GAUSSIAN SPATIAL PROCESSES
|
Statistica Sinica |
2024 |
A |
|
Simultaneous Coefficient Clustering and Sparsity for Multivariate Mixed Models
|
Journal of Computational and Graphical Statistics |
2024 |
A* |
|
A double fixed rank kriging approach to spatial regression models with covariate measurement error
|
Environmetrics |
2023 |
B |
|
Cause-of-death mortality forecasting using adaptive penalized tensor decompositions
|
Insurance: Mathematics & Economics |
2023 |
A* |
|
Fast and universal estimation of latent variable models using extended variational approximations
|
Statistics and Computing |
2023 |
A |
|
GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data
|
Journal of the American Statistical Association |
2023 |
A* |
|
Likelihood-based surrogate dimension reduction
|
Statistics and Computing |
2023 |
A |
|
On the Robust Estimation of Spatial Autoregressive Models
|
Econometrics and Statistics |
2023 |
B |
|
Estimation of graphical models for skew continuous data
|
Scandinavian Journal of Statistics |
2022 |
A |
|
GEE-Assisted Forward Regression for Spatial Latent Variable Models
|
Journal of Computational and Graphical Statistics |
2022 |
A* |
|
MULTI-STATE MODELLING OF CUSTOMER CHURN
|
ASTIN Bulletin |
2022 |
A |
|
SPARSE SLICED INVERSE REGRESSION VIA CHOLESKY MATRIX PENALIZATION
|
Statistica Sinica |
2022 |
A |
|
Sufficient dimension reduction for clustered data via finite mixture modelling
|
Australian and New Zealand Journal of Statistics |
2022 |
A |
|
Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models
|
Environmetrics |
2021 |
B |
|
A shared parameter mixture model for longitudinal income data with missing responses and zero rounding
|
Australian and New Zealand Journal of Statistics |
2021 |
A |
|
On the use of a penalized quasilikelihood information criterion for generalized linear mixed models
|
Biometrika |
2021 |
A* |
|
Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models
|
International Statistical Review |
2021 |
A |
|
What is the effective sample size of a spatial point process?
|
Australian and New Zealand Journal of Statistics |
2021 |
A |
|
On goodness-of-fit measures for Poisson regression models
|
Australian and New Zealand Journal of Statistics |
2020 |
A |
|
Positive interspecific associations consistent with social information use shape juvenile fish assemblages
|
Ecology |
2020 |
A |
|
The LASSO on latent indices for regression modeling with ordinal categorical predictors
|
Computational Statistics and Data Analysis |
2020 |
A |
|
Joint species distribution models with species correlations and imperfect detection
|
Ecology |
2019 |
A |
|
Semiparametric Regression Using Variational Approximations
|
Journal of the American Statistical Association |
2019 |
A* |
|
Testing random effects in linear mixed models: another look at the F-test (with discussion)
|
Australian and New Zealand Journal of Statistics |
2019 |
A |
|
A general algorithm for covariance modeling of discrete data
|
Journal of Multivariate Analysis |
2018 |
A |
|
Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
|
Journal of the American Statistical Association |
2018 |
A* |
|
Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology
|
Journal of Agricultural, Biological and Environmental Statistics |
2017 |
B |
|
Hierarchical selection of fixed and random effects in generalized linear mixed models
|
Statistica Sinica |
2017 |
A |
|
Joint Selection in Mixed Models using Regularized PQL
|
Journal of the American Statistical Association |
2017 |
A* |
|
Model-based simultaneous clustering and ordination of multivariate abundance data in ecology
|
Computational Statistics and Data Analysis |
2017 |
A |
|
Variational Approximations for Generalized Linear Latent Variable Models
|
Journal of Computational and Graphical Statistics |
2017 |
A* |
|
Community level models, finite mixture models, penalized likelihood, regularization, species archetype models, variable selection
|
Annals of Applied Statistics |
2015 |
A |
|
Order selection in finite mixture models: Complete or observed likelihood information criteria?
|
Biometrika |
2015 |
A* |
|
Tuning Parameter Selection for the Adaptive Lasso Using ERIC
|
Journal of the American Statistical Association |
2015 |
A* |
|
A nonparametric measure of local association for two-way contingency tables
|
Computational Statistics and Data Analysis |
2013 |
A |
|
Finite Mixture of Regression Modeling for High-Dimensional Count and Biomass Data in Ecology
|
Journal of Agricultural, Biological and Environmental Statistics |
2013 |
B |
|
To mix or not to mix: Comparing the predictive performance of mixture models vs. separate species distribution models
|
Ecology |
2013 |
A |
|
Nonparametric bootstrap tests of conditional independence in two-way contingency tables
|
Journal of Multivariate Analysis |
2012 |
A |
|
The arcsine is asinine: The analysis of proportions in ecology
|
Ecology |
2011 |
A |