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On partial likelihood and the construction of factorisable transformations. [PDF]

open access: yesInf Geom, 2022
Models whose associated likelihood functions fruitfully factorise are an important minority allowing elimination of nuisance parameters via partial likelihood, an operation that is valuable in both Bayesian and frequentist inferences, particularly when ...
Battey HS, Cox DR, Lee SH.
europepmc   +2 more sources

Partial Likelihood Thompson Sampling [PDF]

open access: yesConference on Uncertainty in Artificial Intelligence, 2022
We consider the problem of deciding how best to target and prioritize existing vaccines that may offer protection against new variants of an infectious disease.
Wu H, Wager S.
europepmc   +2 more sources

Information criteria for Firth's penalized partial likelihood approach in Cox regression models. [PDF]

open access: yesStat Med, 2017
In the estimation of Cox regression models, maximum partial likelihood estimates might be infinite in a monotone likelihood setting, where partial likelihood converges to a finite value and parameter estimates converge to infinite values.
Nagashima K, Sato Y.
europepmc   +2 more sources

Estimating epidemiological parameters for bovine tuberculosis in British cattle using a Bayesian partial-likelihood approach. [PDF]

open access: yesProc Biol Sci, 2014
Fitting models with Bayesian likelihood-based parameter inference is becoming increasingly important in infectious disease epidemiology. Detailed datasets present the opportunity to identify subsets of these data that capture important characteristics of
O'Hare A, Orton RJ, Bessell PR, Kao RR.
europepmc   +2 more sources

Partial mixture model for tight clustering of gene expression time-course [PDF]

open access: yesBMC Bioinformatics, 2008
Background Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters.
Li Chang-Tsun   +2 more
doaj   +5 more sources

Local partial-likelihood estimation for lifetime data [PDF]

open access: yes, 2006
This paper considers a proportional hazards model, which allows one to examine the extent to which covariates interact nonlinearly with an exposure variable, for analysis of lifetime data.
Fan, Jianqing, Lin, Huazhen, Zhou, Yong
core   +3 more sources

Local partial likelihood estimation in proportional hazards regression [PDF]

open access: yes, 2007
Fan, Gijbels and King [Ann. Statist. 25 (1997) 1661--1690] considered the estimation of the risk function $\psi (x)$ in the proportional hazards model. Their proposed estimator is based on integrating the estimated derivative function obtained through a ...
Chen, Songnian, Zhou, Lingzhi
core   +4 more sources

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