40 citations · 40 across the 1 of their papers we have counts for
2 papers
stat.ME2026★ 40 cited
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…
stat.ME2025
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…