{
  "id": "specialization:statistical-methods",
  "_kind": "Specialization",
  "_file": "domain/specializations/specializations-science.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Statistical Methods",
    "parentDomainId": "domain:mathematics",
    "description": "Classical and Bayesian statistical inference, experimental design, and causal\nanalysis. Covers hypothesis testing, regression and GLMs, survival analysis,\ntime-series modeling, and resampling techniques (bootstrap, cross-validation).\nAddresses reproducibility, multiple-comparison corrections, and reporting\nstandards for scientific publications. Increasingly applied to A/B testing,\nclinical trials, and data-driven product decisions.\n"
  },
  "outgoingEdges": [
    {
      "from": "specialization:statistical-methods",
      "to": "domain:mathematics",
      "kind": "specializes"
    }
  ],
  "incomingEdges": [
    {
      "from": "domain:quantitative-finance",
      "to": "specialization:statistical-methods",
      "kind": "contains"
    },
    {
      "from": "domain:portfolio-management",
      "to": "specialization:statistical-methods",
      "kind": "contains"
    },
    {
      "from": "domain:financial-risk-management",
      "to": "specialization:statistical-methods",
      "kind": "contains"
    },
    {
      "from": "domain:mathematics",
      "to": "specialization:statistical-methods",
      "kind": "contains"
    },
    {
      "from": "domain:insurance",
      "to": "specialization:statistical-methods",
      "kind": "contains"
    },
    {
      "from": "skill-area:statistical-analysis",
      "to": "specialization:statistical-methods",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    }
  ]
}