Imprecision Attenuates Updating

Fuente: arXiv
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Main Author: Vaeth, Martin
Format: Preprint
Published: 2025
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author Vaeth, Martin
author_facet Vaeth, Martin
contents This paper studies how imprecision in noisy signals attenuates Bayesian updating toward the prior. This phenomenon is well-known under a normal prior and normal noise, where less precise signals yield posterior means closer to the prior mean. We show this effect extends to any symmetric, log-concave prior and any symmetric, quasi-concave location experiment, using a newly introduced precision order. Our main result is that for any such prior and any signal realization, the posterior mean under location experiment S is closer to the prior mean than is the posterior mean under S', if and only if S is less precise than S'. We discuss applications to cognitive imprecision, prior precision, and overconfidence.
format Preprint
id arxiv_https___arxiv_org_abs_2504_02238
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Imprecision Attenuates Updating
Vaeth, Martin
Theoretical Economics
This paper studies how imprecision in noisy signals attenuates Bayesian updating toward the prior. This phenomenon is well-known under a normal prior and normal noise, where less precise signals yield posterior means closer to the prior mean. We show this effect extends to any symmetric, log-concave prior and any symmetric, quasi-concave location experiment, using a newly introduced precision order. Our main result is that for any such prior and any signal realization, the posterior mean under location experiment S is closer to the prior mean than is the posterior mean under S', if and only if S is less precise than S'. We discuss applications to cognitive imprecision, prior precision, and overconfidence.
title Imprecision Attenuates Updating
topic Theoretical Economics
url https://arxiv.org/abs/2504.02238