That’s not what I meant…

A lot of my research over the years has involved fitting images. Usually, I use the traditional assumption that the conditional prior for the data pixels given the model pixels is iid normal with mean zero. But in some cases one might want to use a correlated distribution instead. That’s a technical challenge which I’ve been trying to solve from several angles (though good solutions might be well known to people who know these things).

I got one of those working the other day, and was rather amused at some of the output. Check out these residuals of one posterior sample of a gravitational lens fit (bottom right). The “correlated noise” likelihood is quite happy to call this a decent fit! 🙂


About Brendon J. Brewer

I am a senior lecturer in the Department of Statistics at The University of Auckland. Any opinions expressed here are mine and are not endorsed by my employer.
This entry was posted in Inference. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s