Bayesian mode inference for discrete distributions in economics and finance

Jamie Cross, Lennart Hoogerheide, Paul Labonne and Herman van Dijk

Economics Letters, 2024, vol. 235, issue C

Abstract: We propose a straightforward technique for mode inference in discrete data distributions which involves fitting a mixture of novel shifted-Poisson distributions. The credibility and utility of our approach is demonstrated through applications pertaining to loan default risk and inflation expectations.

Keywords: Bayesian inference; Mixture models; Mode inference; Multimodality; Shifted-Poisson (search for similar items in EconPapers)
JEL-codes: C11 C25 C81 C82 D00 E00 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (4)

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Related works:
Working Paper: Bayesian Mode Inference for Discrete Distributions in Economics and Finance (2023)
Working Paper: Bayesian Mode Inference for Discrete Distributions in Economics and Finance (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:235:y:2024:i:c:s0165176524000624

DOI: 10.1016/j.econlet.2024.111579

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