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Composite Analysis

<- Previous: Univariate Analysis | Back to Index | Next: Bivariate Analysis ->

CompositeAnalysis is documented with the mathematical treatments of model averaging, competing risks, and mixture composition in Composite Distributions and Model Averaging.

That chapter is the canonical reference for:

  • CompositeType and AverageMethod;
  • AIC, BIC, DIC, WAIC, LOOIC, equal, and RMSE weighting;
  • posterior-realization alignment and uncertainty propagation;
  • competing-risk and mixture interpretation;
  • validation, failure behavior, and cancellation;
  • analytical, R mistr, correlation-orthant, and three-child Cartesian-posterior verification; and
  • the compile-checked C# workflow.

This page remains as a stable landing URL for existing links. It does not define a separate likelihood or estimation method. All ten recovery-supplement methods pass focused execution, including the extreme-tail XTransform.None fixture. Results are documented in the canonical chapter and Composite Analysis.

<- Previous: Univariate Analysis | Back to Index | Next: Bivariate Analysis ->