iiRecord
Agentic AI Atlas · bayesian-inference-workflow
lib-process:mathematics--bayesian-inference-workflowa5c.ai
II.
LibraryProcess JSON

lib-process:mathematics--bayesian-inference-workflow

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bayesian-inference-workflow json

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File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:mathematics--bayesian-inference-workflow",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "bayesian-inference-workflow",
    "description": "Implement Bayesian inference workflows including prior elicitation, posterior computation\nvia MCMC/variational methods, and convergence diagnostics.",
    "libraryPath": "library/specializations/domains/science/mathematics/bayesian-inference-workflow.js",
    "specialization": "mathematics",
    "references": [
      "- Gelman et al., Bayesian Data Analysis\n- McElreath, Statistical Rethinking\n- Stan User Guide: https://mc-stan.org/users/documentation/\n- PyMC Documentation: https://www.pymc.io/"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/mathematics/bayesian-inference-workflow', {\n  modelDescription: 'Hierarchical regression model for student test scores nested within schools',\n  dataDescription: '1000 students across 50 schools, predicting scores from SES and school resources',\n  priorKnowledge: { expectedEffect: 'small to moderate positive', variance: 'uncertain' },\n  inferenceMethod: 'MCMC'\n});",
    "usesAgents": [
      "bayesian-statistician"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "skill-area:mathematical-reasoning",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "domain:mathematics",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "specialization:computational-mathematics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "specialization:mathematics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:mathematics--bayesian-inference-workflow",
      "to": "lib-agent:mathematics--bayesian-statistician",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}