66 citations · 203 across the 7 of their papers we have counts for
4 papers · 1 filter
ML, PL, QL in Markov chain models
Nils Lid Hjort, Cristiano Varin
In many spatial and spatial-temporal models, and more generally in models with complex dependencies, it may be too difficult to carry out full maximum likelihood (ML) analysis. Rem…
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
Ruggero Bellio, Swarnadip Ghosh, Art B. Owen +1
Estimation of crossed random effects models commonly requires computational costs that grow faster than linearly in the sample size , often as fast as , making them…
Pairwise likelihood estimation of latent autoregressive count models
Xanthi Pedeli, Cristiano Varin
Latent autoregressive models are useful time series models for the analysis of infectious disease data. Evaluation of the likelihood function of latent autoregressive models is int…
Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression
Ioannis Kosmidis, Annamaria Guolo, Cristiano Varin
Random-effects models are frequently used to synthesise information from different studies in meta-analysis. While likelihood-based inference is attractive both in terms of limitin…