|
Random effects misspecification and its consequences for prediction in generalized linear mixed models
|
Computational Statistics and Data Analysis |
2026 |
A |
|
INCREASING DIMENSION ASYMPTOTICS FOR TWO-WAY CROSSED MIXED EFFECT MODELS
|
Annals of Statistics |
2024 |
A* |
|
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
|
Journal of the American Statistical Association |
2024 |
A* |
|
ON THE EFFICIENCY OF COMPOSITE LIKELIHOOD ESTIMATION FOR GAUSSIAN SPATIAL PROCESSES
|
Statistica Sinica |
2024 |
A |
|
The effect of the working correlation on fitting models to longitudinal data
|
Scandinavian Journal of Statistics |
2024 |
A |
|
A double fixed rank kriging approach to spatial regression models with covariate measurement error
|
Environmetrics |
2023 |
B |
|
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 |
|
The concept of sufficiency in conditional frequentist inference
|
Statistica Neerlandica |
2023 |
A |
|
Asymptotics for EBLUPs: Nested Error Regression Models
|
Journal of the American Statistical Association |
2022 |
A* |
|
Estimation of graphical models for skew continuous data
|
Scandinavian Journal of Statistics |
2022 |
A |
|
Increasing cluster size asymptotics for nested error regression models
|
Journal of Statistical Planning and Inference |
2022 |
A |
|
Robust Multivariate Lasso Regression with Covariance Estimation
|
Journal of Computational and Graphical Statistics |
2022 |
A* |
|
SPARSE SLICED INVERSE REGRESSION VIA CHOLESKY MATRIX PENALIZATION
|
Statistica Sinica |
2022 |
A |
|
Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models
|
International Statistical Review |
2021 |
A |
|
Finite sample properties of confidence intervals centered on a model averaged estimator
|
Journal of Statistical Planning and Inference |
2020 |
A |
|
Generalised regression estimation via the bootstrap
|
Australian and New Zealand Journal of Statistics |
2020 |
A |
|
Improved prediction for a spatio-temporal model
|
Environmental and Ecological Statistics |
2020 |
A |
|
On goodness-of-fit measures for Poisson regression models
|
Australian and New Zealand Journal of Statistics |
2020 |
A |
|
On the effect of ignoring correlation in the covariates when fitting linear mixed models
|
Journal of Statistical Planning and Inference |
2020 |
A |
|
The LASSO on latent indices for regression modeling with ordinal categorical predictors
|
Computational Statistics and Data Analysis |
2020 |
A |
|
Flexible Regression and Smoothing: Using GAMLSS in R
|
Australian and New Zealand Journal of Statistics |
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 |
|
Bootstrapping longitudinal data with multiple levels of variation
|
Computational Statistics and Data Analysis |
2018 |
A |
|
Comment on “Confidence, credibility and prediction”
|
Metron |
2018 |
C |
|
Mplot: An r package for graphical model stability and variable selection procedures
|
Journal of Statistical Software |
2018 |
A |
|
PETER HALL ON EXTREMES: RESEARCH, TEACHING AND SUPERVISION
|
Statistica Sinica |
2018 |
A |
|
Robust Lasso Regression Using Tukey's Biweight Criterion
|
Technometrics |
2018 |
A |
|
Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
|
Journal of the American Statistical Association |
2018 |
A* |
|
A Directional Mixed Effects Model for Compositional Expenditure Data
|
Journal of the American Statistical Association |
2017 |
A* |
|
A new REML (parameter expanded) EM algorithm for linear mixed models
|
Australian and New Zealand Journal of Statistics |
2017 |
A |
|
A random-effects hurdle model for predicting bycatch of endangered marine species
|
Annals of Applied Statistics |
2017 |
A |
|
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* |
|
The performance of model averaged tail area confidence intervals
|
Communications in Statistics: Theory and Methods |
2017 |
B |
|
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions
|
Statistical Methods and Applications |
2016 |
C |
|
Model-Averaged Confidence Intervals
|
Scandinavian Journal of Statistics |
2016 |
A |
|
Improving the Efficiency and Precision of Tree Counts in Pine Plantations Using Airborne LiDAR Data and Flexible-Radius Plots: Model-Based and Design-Based Approaches
|
Journal of Agricultural, Biological and Environmental Statistics |
2015 |
B |
|
Robust principal component analysis for power transformed compositional data
|
Journal of the American Statistical Association |
2015 |
A* |
|
Colours and cocktails: Compositional data analysis 2013 lancaster lecture
|
Australian and New Zealand Journal of Statistics |
2014 |
A |
|
Discussion
|
Statistical Science |
2014 |
A |
|
Fitting Kent models to compositional data with small concentration
|
Statistics and Computing |
2014 |
A |
|
Model-based prediction in ecological surveys including those with incomplete detection
|
Australian and New Zealand Journal of Statistics |
2014 |
A |
|
Bootstrapping for highly unbalanced clustered data
|
Computational Statistics and Data Analysis |
2013 |
A |
|
Model selection in linear mixed models
|
Statistical Science |
2013 |
A |
|
Robust model-based sampling designs
|
Statistics and Computing |
2013 |
A |
|
The Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations
|
Australian and New Zealand Journal of Statistics |
2013 |
A |
|
Regression for compositional data by using distributions defined on the hypersphere
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
2011 |
A* |
|
Bootstrapping robust estimates for clustered data
|
Journal of the American Statistical Association |
2010 |
A* |
|
Comment on the paper by Gani
|
Australian and New Zealand Journal of Statistics |
2010 |
A |
|
On model selection curves
|
International Statistical Review |
2010 |
A |
|
Transformation and smoothing in sample survey data
|
Scandinavian Journal of Statistics |
2010 |
A |
|
Robust model selection in generalized linear models
|
Statistica Sinica |
2009 |
A |
|
Bootstrapping data with multiple levels of variation
|
Canadian Journal of Statistics |
2008 |
A |
|
Model-based inferences from adaptive cluster sampling
|
Bayesian Analysis |
2008 |
A |
|
Bootstrapping clustered data
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
2007 |
A* |
|
Discussion of " Semi-mechanistic modelling in nonlinear regression: A case study"
|
Australian and New Zealand Journal of Statistics |
2006 |
A |
|
Estimating the retransformed mean in a heteroscedastic two-part model
|
Journal of Statistical Planning and Inference |
2006 |
A |
|
Invited discussion of the paper by Domijan, Jorgensen & Reid
|
Australian and New Zealand Journal of Statistics |
2006 |
A |
|
Local regression for vector responses
|
Journal of Statistical Planning and Inference |
2006 |
A |
|
Fisher and inference for scores
|
International Statistical Review |
2005 |
A |
|
Outlier robust model selection in linear regression
|
Journal of the American Statistical Association |
2005 |
A* |
|
Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
|
Biometrika |
2004 |
A* |
|
A journey in single steps: Robust one-step M -estimation in linear regression
|
Journal of Statistical Planning and Inference |
2002 |
A |
|
Discussion on the paper by Xia, Tong, Li and Zhu
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
2002 |
A* |
|
Distribution-function-based bivariate quantiles
|
Journal of Multivariate Analysis |
2002 |
A |
|
Incomplete detection in enumeration surveys: Whither distance sampling?
|
Australian and New Zealand Journal of Statistics |
2002 |
A |
|
Marginal longitudinal nonparametric regression: Locality and efficiency of spline and kernel methods
|
Journal of the American Statistical Association |
2002 |
A* |
|
Bias correction and bootstrap methods for a spatial sampling scheme
|
Bernoulli |
2001 |
A |
|
Distance sampling methodology
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
2001 |
A* |
|
Estimators for the linear regression model based on winsorized observations
|
Statistica Sinica |
2001 |
A |
|
Modelling correlated zero-inflated count data
|
Australian and New Zealand Journal of Statistics |
2001 |
A |
|
Models for zero-inflated count data using the Neyman type A distribution
|
Statistical Modelling |
2001 |
B |
|
Robust estimation for finite populations based on a working model
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
2001 |
A* |
|
Robust fitting of the binomial model
|
Annals of Statistics |
2001 |
A* |
|
Likelihood inference for small variance components
|
Canadian Journal of Statistics |
2000 |
A |
|
Nonparametric function estimation of the relationship between two repeatedly measured variables
|
Statistica Sinica |
2000 |
A |
|
Reference Bands for Nonparametrically Estimated Link Functions
|
Journal of Computational and Graphical Statistics |
1999 |
A* |
|
Bias-calibrated estimation from sample surveys containing outliers
|
Journal of the Royal Statistical Society, Series B (Statistical Methodology) |
1998 |
A* |
|
Local estimating equations
|
Journal of the American Statistical Association |
1998 |
A* |
|
Robust confidence intervals for regression parameters
|
Australian and New Zealand Journal of Statistics |
1998 |
A |
|
Approaches to robust estimation in the simplest variance components model
|
Journal of Statistical Planning and Inference |
1997 |
A |
|
The emperor's new clothes: A critique of the multivariate t regression model
|
Statistica Neerlandica |
1997 |
A |
|
Covariate screening in mixed linear models
|
Journal of Multivariate Analysis |
1996 |
A |
|
Robust estimation of smooth regression and spread functions and their derivatives
|
Statistica Sinica |
1996 |
A |
|
Adaptive choice of trimming proportions
|
Annals of the Institute of Statistical Mathematics |
1994 |
A |
|
Fitting heteroscedastic regression models
|
Journal of the American Statistical Association |
1994 |
A* |
|
Momentary lapses: Moment expansions and the robustness of minimum distance estimation
|
Econometric Theory |
1994 |
A* |
|
Comment
|
Journal of the American Statistical Association |
1993 |
A* |
|
Exactly what is being modelled by the systematic component in a heteroscedastic linear regression
|
Statistics & Probability Letters |
1992 |
B |
|
Normal approximation in regression
|
Journal of Multivariate Analysis |
1991 |
A |
|
A note on the statistical properties of the secant algorithm for calculating rank estimators
|
Computational Statistics and Data Analysis |
1990 |
A |
|
Asymptotic relations between L- and M-estimators in the linear model
|
Annals of the Institute of Statistical Mathematics |
1990 |
A |
|
Robust L estimation of scale with an application in astronomy
|
Journal of the American Statistical Association |
1990 |
A* |
|
Testing for exponential and marshall-olkin distributions
|
Journal of Statistical Planning and Inference |
1989 |
A |
|
Asymptotically efficient estimation of the sparsity function at a point
|
Statistics & Probability Letters |
1988 |
B |
|
Mallows-type bounded-influence-regression trimmed means
|
Journal of the American Statistical Association |
1988 |
A* |
|
Multivariate functional least squares
|
Journal of Multivariate Analysis |
1988 |
A |
|
Implementing empirical characteristic function procedures
|
Statistics & Probability Letters |
1986 |
B |
|
Robust estimation of regression models with dependent regressors: The functional least squares approach
|
Econometric Theory |
1986 |
A* |
|
An angular approach for linear data
|
Biometrika |
1985 |
A* |
|
Limit theorems for the median deviation
|
Annals of the Institute of Statistical Mathematics |
1985 |
A |
|
A note on scale estimates based on the empirical characteristic function and their application to test for normality
|
Statistics & Probability Letters |
1984 |
B |
|
'A test for normality based on the empirical characteristic function'
|
Biometrika |
1984 |
A* |
|
A test for normality based on the empirical characteristic function
|
Biometrika |
1983 |
A* |
|
ROBUST ESTIMATION OF AUTOREGRESSIVE PROCESSES BY FUNCTIONAL LEAST SQUARES.
|
Journal of Applied Probability |
1983 |
A |