SSRNEconometrics & Forecasting
Mathematical Causal Graphs
The paper presents a mathematical framework for studying Causal Graphs with Dynamic Trace GCTD, aiming to pioneer a new research field in discrete mathematics and network theory.
Featured in No. 101 on 11 Jun 2025 · 5 days after release
- Released
- 6 Jun 2025
- First featured
- No. 101 · 11 Jun 2025
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 4
- Identifier
- SSRN 5284544
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