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Published in 2019 at "Extremes"
DOI: 10.1007/s10687-019-00341-7
Abstract: We consider bias-reduced estimation of the extreme value index in conditional Pareto-type models with random covariates when the response variable is subject to random right censoring. The bias-correction is obtained by fitting the extended Pareto…
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Keywords:
pareto;
conditional pareto;
pareto type;
right censoring ... See more keywords
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Published in 2019 at "American journal of epidemiology"
DOI: 10.1093/aje/kwz136
Abstract: Covariate balance is a central concept in the potential outcomes literature. With selected populations or missing data, balance across treatment groups can be insufficient for estimating marginal treatment effects. Recently, a framework for using covariate…
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Keywords:
across levels;
balance across;
covariate balance;
right censoring ... See more keywords
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Published in 2023 at "Royal Society Open Science"
DOI: 10.1098/rsos.221223
Abstract: We propose a non-parametric estimator for bivariate left-truncated and right-censored observations that combines the expectation–maximization algorithm and the reinforced urn process. The resulting expectation-reinforcement algorithm allows for the inclusion of experts’ knowledge in the form…
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Keywords:
truncation;
left truncation;
estimation reinforced;
reinforced urn ... See more keywords
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Published in 2019 at "Electronic Journal of Statistics"
DOI: 10.1214/19-ejs1645
Abstract: Abstract: This paper concerns the dependence structure of a random pair (Y1, Y2) conditionally upon a covariate X in the case where the variable Y1 is subject to random right censoring. The dependence structure is…
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Keywords:
variable subject;
subject random;
right censoring;
random ... See more keywords