An Axiomatic Approach to Prove the Converse of Bayes’ Theorem in Probability

The converse of Bayes' theorem, have been proved using axiomatic approach to probability. This approach to probability utilizes the relations and theorems of set theory. Simply presentation of the converse of Bayes' theorem has been possible due to the correspondence theorem in set theory. This theorem is seen to be more applicable in the proof of Bayes' theorem and its converse. So at first, the correspondence theorem of set theory with its proof has been presented here and then has been applied to prove the Bayes' theorem and its converse. Some important applications of correspondence theorem for set theory have also been presented in this article. The use of correspondence theorem in proving Bayes' theorem and its converse makes the proof easily understandable and reduces the steps proving them. After this work, the statement of Baye's theorem can be stated with conditions necessary and sufficient both.

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Publication Details

Journal
Orchid Academia Siraha
Published
2024-12-31
DOI
https://doi.org/10.3126/oas.v3i1.78106
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
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An Axiomatic Approach to Prove the Converse of Bayes’ Theorem in Probability

Anirudh Yadav
Orchid Academia Siraha
Bayesian Modeling and Causal Inference
article

An Axiomatic Approach to Prove the Converse of Bayes’ Theorem in Probability

Anirudh Yadav
article en

Abstract

The converse of Bayes' theorem, have been proved using axiomatic approach to probability. This approach to probability utilizes the relations and theorems of set theory. Simply presentation of the converse of Bayes' theorem has been possible due to the correspondence theorem in set theory. This theorem is seen to be more applicable in the proof of Bayes' theorem and its converse. So at first, the correspondence theorem of set theory with its proof has been presented here and then has been applied to prove the Bayes' theorem and its converse. Some important applications of correspondence theorem for set theory have also been presented in this article. The use of correspondence theorem in proving Bayes' theorem and its converse makes the proof easily understandable and reduces the steps proving them. After this work, the statement of Baye's theorem can be stated with conditions necessary and sufficient both.

Orchid Academia SirahaVol. 3(1)
Tribhuvan University (NP)
Openalex Percentile: Top 73%
Bayesian Modeling and Causal Inference
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An Axiomatic Approach to Prove the Converse of Bayes’ Theorem in Probability — Anirudh Yadav · Orchid Academia Siraha (2024) | TGRS Research Map | TGRS