A Bayesian tour of binomial inference

John Hughes

doi:10.1016/j.spl.2023.109974

A Bayesian tour of binomial inference

John Hughes

Statistics

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Abstract

This article presents inferential methods for the binomial proportion in a unified way, as variations on a conjugate-Bayesian theme. An overlooked interval emerges as the best-performing approximate interval for small samples. This approach is simple, intuitive, and illuminating, and may hold pedagogical value for instructors of advanced courses on statistical inference.

Original language	English (US)
Article number	109974
Journal	Statistics and Probability Letters
Volume	205
DOIs	https://doi.org/10.1016/j.spl.2023.109974
State	Published - Feb 2024

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/j.spl.2023.109974

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A Bayesian tour of binomial inference

Abstract

All Science Journal Classification (ASJC) codes

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