Computation of the MLE for bivariate interval censored data
author: Marloes Maathuis,
ETH Zurich
published: Dec. 10, 2007, recorded: September 2007, views: 6152
published: Dec. 10, 2007, recorded: September 2007, views: 6152
Slides
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.
Description
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.
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:
Thanks so much for sharing. It's very helpful ~
Write your own review or comment: