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January 1, 2026International Journal of Intelligent Information and Database SystemsOpen Access

Distribution estimation algorithm for Bayesian statistical inference of multi-source heterogeneous data

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Key Points

The research aims to develop an algorithm for estimating distributions in Bayesian statistical inference with heterogeneous data.
Developed a novel distribution estimation algorithm
Applied Bayesian inference techniques
Analyzed multi-source heterogeneous data
Successfully estimated data distributions across diverse sources
Enhanced accuracy of statistical inference
Demonstrated improved performance over existing methods

Implication

An algorithm estimates data distributions in multiple data sources, indicating advancements in statistical inference methods.

Abstract

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Cite This Study

Ying Xu (2026) studied this question.

synapsesocial.com/papers/69d896566c1944d70ce07c07 https://doi.org/10.1504/ijiids.2026.10077531

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