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Main Author: Rinaldi, Stefano
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.06366
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author Rinaldi, Stefano
author_facet Rinaldi, Stefano
contents In this paper I show the equivalence, under appropriate assumptions, of two alternative methods to account for the presence of selection biases (also called selection effects) in population studies: one is to include the selection effects in the likelihood directly; the other follows the procedure of first inferring the observed distribution and then removing selection effects a posteriori. Moreover, I investigate a potential bias allegedly induced by the latter approach: I show that this procedure, if applied under the appropriate assumptions, does not produce the aforementioned bias.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06366
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches
Rinaldi, Stefano
Methodology
Instrumentation and Methods for Astrophysics
General Relativity and Quantum Cosmology
In this paper I show the equivalence, under appropriate assumptions, of two alternative methods to account for the presence of selection biases (also called selection effects) in population studies: one is to include the selection effects in the likelihood directly; the other follows the procedure of first inferring the observed distribution and then removing selection effects a posteriori. Moreover, I investigate a potential bias allegedly induced by the latter approach: I show that this procedure, if applied under the appropriate assumptions, does not produce the aforementioned bias.
title Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches
topic Methodology
Instrumentation and Methods for Astrophysics
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2405.06366