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Active learning is a type of sequential design for supervised machine learning, in which the learning algorithm sequentially requests the labels of selected instances from a large pool of unlabeled da...
We discuss two distinct approaches, for distorting risk measures of sums of dependent random variables, which preserve the property of coherence. The first, based on distorted expectations, operates o...
Considerable literature has been devoted to developing statistical inferential results for risk measures, especially for those that are of the form of L-functionals. However, practical and theoretic...
We use a new, matched worker-firm dataset for the United Kingdom to estimate the income loss resulting from firm closure and mass layoffs. We track workers for up to nine years after the displacement ...
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicateg...
Social Security is the major source of income support for retirement in the United States; the Old-Age, Survivors, and Disability Insurance programs (OASDI) will pay benefits of approximately $170 ...
Charles (2003) examines the dynamic effects of disability, finding a small decline in earnings and hours following disability onset, even for those who have positive disability reports for each of the...
Before May 20, 2003 Canadian cattle and beef production activities had been expanding, especially in Alberta, because of changes in government policies and from growing demand among foreign consumers....
Women and men injured at work in Wisconsin during 1989 and 1990 have similar levels of lost earnings in the quarter of injury. However, in the three and one-half years after the post-injury quarter, w...
This paper asks: What are the dynamic effects of disability on earnings? Unlike most of the previous literature, it uses panel data, and fixed effects methods are used to assess how the earnings of di...

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