Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Get in touch with Lolian
Contact Lolian, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck RackActions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Goodness-of-fit tests for arbitrary multivariate models
Goodness-of-fit tests are often used in data analysis to test the agreement of a distribution to a set of data. These tests can be used to detect an unknown signal against a known background or to set limits on a proposed signal distribution in experiments contaminated by poorly understood backgrounds. Out-of-the-box nonparametric tests that can target any proposed distribution are only available in the univariate case.
Limit setting using spacings in the presence of unknown backgrounds
Finding upper limits on the rate of events from a proposed process in the presence of unknown backgrounds is an often encountered problem in the search for rare processes. Methods based on unusually large “gaps,” or spacings, in the event distribution allow to set limits on the rate of the proposed signal distribution.
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Lolian
Contact Lolian, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack