flowchart LR style C fill:#99ff99,stroke:#333,stroke-width:2px style K fill:#99ff99,stroke:#333,stroke-width:2px style H fill:#ff99cc,stroke:#333,stroke-width:2px style M fill:#ff99cc,stroke:#333,stroke-width:2px style E fill:#f9f,stroke:#333,stroke-width:2px style F fill:#f9f,stroke:#333,stroke-width:2px style G fill:#f9f,stroke:#333,stroke-width:2px Z[(Data)] --> A & E & I subgraph Model 1 A[LCDM 1] -->|Bayesian \n estimate| B(Posterior\n Distribution) B -->|sample| C(Posterior \n Predictive \n M2 fa:fa-star) C --> D{{KS Test}} D --> H[KS-PP-M2 fa:fa-star] end subgraph Reference: BayesNet Model E[BayesNet] --> |Bayesian \n estimate| F(Posterior \n Distribution) F -->|sample| G(Posterior \n Predictive \n M2 fa:fa-star) end G --> D & L subgraph Model 2 I[LCDM 2] -->|Bayesian \n estimate| J(Posterior\n Distribution) J -->|sample| K(Posterior \n Predictive \n M2 fa:fa-star) K --> L{{KS Test}} L --> M[KS-PP-M2 fa:fa-star] end H & M --> N{Decision}