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Increasing or decreasing one results in changes to one or both of the other two. For example, a policy that increases access to health services would lower quality of health care and/or increase cost. The desired state of the triangle, high access and quality with low cost represents value in a health care system. [3]
Cash flow matching is a process of hedging in which a company or other entity matches its cash outflows (i.e., financial obligations) with its cash inflows over a given time horizon. [1] It is a subset of immunization strategies in finance. [2] Cash flow matching is of particular importance to defined benefit pension plans. [3]
In mathematical finance, a replicating portfolio for a given asset or series of cash flows is a portfolio of assets with the same properties (especially cash flows). This is meant in two distinct senses: static replication, where the portfolio has the same cash flows as the reference asset (and no changes need to be made to maintain this), and dynamic replication, where the portfolio does not ...
Misclassified input data gain a higher weight and examples that are classified correctly lose weight. [note 1] Thus, future weak learners focus more on the examples that previous weak learners misclassified. An illustration presenting the intuition behind the boosting algorithm, consisting of the parallel learners and weighted dataset
Cell culture vials The University of Florida Cancer and Genetics Research Complex is an integrated medical research facility.. Medical research (or biomedical research), also known as health research, refers to the process of using scientific methods with the aim to produce knowledge about human diseases, the prevention and treatment of illness, and the promotion of health.
A key result in Efron's seminal paper that introduced the bootstrap [4] is the favorable performance of bootstrap methods using sampling with replacement compared to prior methods like the jackknife that sample without replacement. However, since its introduction, numerous variants on the bootstrap have been proposed, including methods that ...
The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of () and requires () memory, which makes it too slow for even medium data sets. . However, for some special cases, optimal efficient agglomerative methods (of complexity ()) are known: SLINK [2] for single-linkage and CLINK [3] for complete-linkage clusteri
A year lived in a less than perfect state of health can also be expressed as the amount of value accrued to the person living it. For example, 1 year of life lived in a situation with utility 0.5 yields 0.5 QALYs—a person experiencing this state is getting only 50% of the possible value of that year.