Local likelihood and local partial likelihood in hazard regression [PDF]
The Annals of Statistics, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Jianqing +2 more
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Partial likelihood process and asymptotic normality [PDF]
Stochastic Processes and their Applications, 1987 The notion of partial likelihood, introduced by D. R. Cox and used by R. Gill, K. Dhzaparidze and others for particular cases, is generalized for binary statistical experiments when observations consist of a stochastic process which is a semimartingale with predescribed characteristics.
Jacod, Jean
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Censored Partial Linear Models and Empirical Likelihood [PDF]
Journal of Multivariate Analysis, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qin, GS, Jing, Bing Yi
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Empirical Likelihood Inference for the Cox Model with Time-dependent Coefficients via Local Partial Likelihood [PDF]
Scandinavian Journal of Statistics, 2009 Abstract. The Cox model with time‐dependent coefficients has been studied by a number of authors recently. In this paper, we develop empirical likelihood (EL) pointwise confidence regions for the time‐dependent regression coefficients via local partial likelihood smoothing.
Sun, Yanqing +2 more
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Partial-dependence plots for variables predicting Conifer Refugia. [PDF]
, 2020 The random forest partial-dependence plots for continuous variables for the primary model with the lowest OOB and fewest selected variables (n = 15). Legend provides rank of variable importance.
Tania Schoennagel (187634) +3 more
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Optimal designs for full and partial likelihood information - with application to survival models [PDF]
, 2015 Time-to-event data are often modelled through Cox's proportional hazards model for which inference is based on the partial likelihood function. We derive a general expression for the asymptotic covariance matrix of Cox's partial likelihood estimator for ...
Konstantinou, Maria +3 more
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Stress-strength reliability under partially accelerated life testing using Weibull model
Scientific African, 2023 The reliability of a system is the probability that its strength exceeds its stress. This reliability is called as the stress-strength reliability. The inferences of the stress-strength reliability R=P(X>Y), when: (1) the strength (X) and stress (Y) are ...
Ammar M. Sarhan, Ahlam H. Tolba
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Particle Swarm Optimization for Penalize cox models in long-term prediction of breast cancer data
Iraqi Journal for Computer Science and Mathematics, 2023 The particle swarm optimization algorithm (PSO) was applied to penalize the Cox model for predicting long-term outcomes of breast cancer patients.
Ehab Abbas, Basad Al-Sarray
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A SAS Package for Logistic Two-Phase Studies
Journal of Statistical Software, 2014 Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the ...
Walter Schill +2 more
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Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance
Journal of Applied Mathematics, 2014 This paper proposes a profile empirical likelihood for the partial parameters in ARMA(p,q) models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s theorem.
Jinyu Li, Wei Liang, Shuyuan He
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