Showing posts with label DPM. Show all posts
Showing posts with label DPM. Show all posts
Thursday, August 25, 2011
HMM likelihood for haplotype reconstruction
Prabhav suggested using a HMM to describe the likelihood of an observed viral sequence. This allows for dependence between the states, and also for, i.e., increased probability of error after repeats.
Saturday, July 2, 2011
Finding different epochs in a DPM
A DPM is like a collection of poisson processes. We have data drawn from these processes which also contains covariates, such as case/control, age, date.
Use a random forest to fit the counting processes.
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