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hddm-devs / hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
http://ski.clps.brown.edu/hddm_docs/
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How to get the HPD interval for the parameters? #53

Open JaqueLee opened 4 years ago

JaqueLee commented 4 years ago

I just start learning HDDM and wondering how to get the HPD interval for the parameters like 'a', 'v' and 't'? Really appreciate for the help.

madslupe commented 4 years ago

Hi,

Pymc has a function to calculate HPD/HDI. But to run that you need to get the traces from the posterior distribution. So you can do:

traces = model.get_traces()

and then:

import pymc pymc.utils.hpd(traces.a)

On Sun, Jan 5, 2020 at 9:29 AM JaqueLee notifications@github.com wrote:

I just start learning HDDM and wondering how to get the HPD interval for the parameters like 'a', 'v' and 't'? Really appreciate for the help.

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-- Best, Mads