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Computation of the MLE for bivariate interval censored data

Computation of the MLE for bivariate interval censored data

This video was recorded at Workshop on Algorithms in Complex Systems, Eindhoven 2007. I will discuss the new R-package 'MLEcens', which computes the nonparametric maximum likelihood estimator (MLE) for the distribution function of bivariate interval censored data. The computation of the MLE consists of two steps: a parameter reduction step and an optimization step. I will discuss algorithms for both steps. I will also illustrate the R-package using several examples.
Keywords:
videolectures, ocwc, oec
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Material Type:
Presentation
Date Added to MERLOT:
February 8, 2015
Date Modified in MERLOT:
February 8, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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