Batch Updating of a Posterior Tree Distribution over a Meta-Tree
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Abstract (arXiv)
Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 17 Mar 2023.
Builds on
1 of 10 references.
References · 1
- 2021Probability Distribution on Full Rooted Treescited by 9
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Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2026Soft Bayesian Context Tree Models for Real-Valued Time Seriescited by 2
- 2023Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processescited by 0
- 2026Variable Splitting Binary Tree Models Based on Bayesian Context Tree Models for Time Series Segmentationcited by 0
- 2026Variable Splitting Binary Tree Models Based on Bayesian Context Tree Models for Time Series Segmentation22 Jan 2026
- 2026Soft Bayesian Context Tree Models for Real-Valued Time Series16 Jan 2026
- 2023Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes12 Jun 2023