Computation of the MLE for bivariate interval censored data

author: Marloes Maathuis, ETH Zurich
published: Dec. 10, 2007,   recorded: September 2007,   views: 6149


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


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.

See Also:

Download slides icon Download slides: acs07_maathuis_mle.pdf (528.4┬áKB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Tian, September 22, 2008 at 7:01 a.m.:

Thanks so much for sharing. It's very helpful ~

Write your own review or comment:

make sure you have javascript enabled or clear this field: