2 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2017★ 2 cited
Model Selection Confidence Sets by Likelihood Ratio Testing
Chao Zheng, Davide Ferrari, Yuhong Yang
The traditional activity of model selection aims at discovering a single model superior to other candidate models. In the presence of pronounced noise, however, multiple models are…
math.ST2017★ 2 cited
Fast construction of efficient composite likelihood equations
Zhendong Huang, Davide Ferrari
Growth in both size and complexity of modern data challenges the applicability of traditional likelihood-based inference. Composite likelihood (CL) methods address the difficulties…
stat.ME2015
Parsimonious and Efficient Likelihood Composition by Gibbs Sampling
Davide Ferrari, Guoqi Qian
The traditional maximum likelihood estimator (MLE) is often of limited use in complex high-dimensional data due to the intractability of the underlying likelihood function. Maximum…