3 papers
stat.ME2020
Empirical bias-reducing adjustments to estimating functions
Ioannis Kosmidis, Nicola Lunardon
We develop a novel and general framework for reduced-bias -estimation from asymptotically unbiased estimating functions. The framework relies on an empirical approximation of th…
stat.ME2013
Composite Likelihood Inference by Nonparametric Saddlepoint Tests
Nicola Lunardon, Elvezio Ronchetti
The class of composite likelihood functions provides a flexible and powerful toolkit to carry out approximate inference for complex statistical models when the full likelihood is e…
stat.ME2013
Prepivoting composite score statistics by weighted bootstrap iteration
Nicola Lunardon
The role played by the composite analogue of the log likelihood ratio in hypothesis testing and in setting confidence regions is not as prominent as it is in the canonical likeliho…