An exact, efficient, and flexible representation of statistical models for DNA profiles
47 mins 48 secs,
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About this item
| Description: |
Therese Graversen
Wednesday 9th November 2016 - 10:15 to 11:00 |
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| Created: | 2016-11-11 16:17 |
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| Collection: | Probability and Statistics in Forensic Science |
| Publisher: | Isaac Newton Institute |
| Copyright: | Therese Graversen |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Many different models have been proposed for a statistical interpretation of mixed DNA profiles. Regardless of the model, a computational bottleneck lies in the necessity to handle the large set of possible combinations of DNA profiles for the contributors to the DNA sample.
I will explain how models can be specified in a very general setup that makes it simple to compute both the likelihood and many other quantities that are crucial to a thorough statistical analysis. Notably all computations in this setup are exact, whilst still efficient. I have used this setup to implement the statistical software package DNAmixtures. Related Links http://dnamixtures.r-forge.r-project.org/ - The DNAmixtures software package http://dx.doi.org/10.1007/s11222-014-9451-7 - Computational aspects of DNA mixture analysis (Graversen and Lauritzen 2015) |
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