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07/20/2021
Directional testing for high-dimensional multivariate normal distributions
Thanks to its favorable properties, the multivariate normal distribution...
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04/05/2021
Adjusted composite likelihood for robust Bayesian meta-analysis
A composite likelihood is a non-genuine likelihood function that allows ...
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03/29/2021
Accurate directional inference in Gaussian graphical models
Directional tests to compare nested parametric models are developed in t...
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11/05/2020
Accurate inference in negative binomial regression
Negative binomial regression is commonly employed to analyze overdispers...
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10/30/2020
Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications
Inference about a scalar parameter of interest typically relies on the a...
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04/18/2020
Efficient implementation of median bias reduction
In numerous regular statistical models, median bias reduction (Kenne Pag...
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08/12/2018
A New Look at F-Tests
Directional inference for vector parameters based on higher order approx...
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04/11/2018
Mean and median bias reduction in generalized linear models
This paper presents an integrated framework for estimation and inference...
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01/26/2018
Median bias reduction in random-effects meta-analysis and meta-regression
Random-effects models are frequently used to synthesise information from...
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01/08/2018
Monte Carlo modified profile likelihood in models for clustered data
The main focus of the analysts who deal with clustered data is usually n...
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01/08/2018
