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CSDA
2011

Functional density synchronization

8 years 1 months ago
Functional density synchronization
Estimating an overall density function from repeated observations on each of a sample of independent subjects or experimental units is of interest. An example is provided by biodemographic studies, where one observes age-at-death for several cohorts of flies. Cohorts are kept in separate cages, which form the experimental units. Time-variation then is likely to exist between the cohort densities and hazard rates due to cage effects on aging. Given the densities of age-at-death for the individual cohorts, one aims to obtain an estimate for the underlying overall density and hazard rate. In microarray gene expression experiments, similar problems arise when addressing the need for normalization of probe-level data from different arrays. Conventional methods, such as the cross-sectional average density, ignore time variation and hence are often not representative for such data. We view densities as functional data and model individual densities as warped versions of an underlying overa...
Zhen Zhang, Hans-Georg Müller
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CSDA
Authors Zhen Zhang, Hans-Georg Müller
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