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

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