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parameter estimation

parameter estimation

Mar 31, 20261 min read

The statistical process of inferring the values of parameters of a model based on observed data.

Computed values or approximations of unknown parameters or quantities derived from data and a statistical model.

Related Claims

  • ABC bypasses likelihood evaluation through data simulation
  • Nonlinear heteroscedastic regression improves ABC parameter estimation accuracy
  • Generalist ABC package accommodates flexible model and algorithm choice

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Backlinks

  • ABC bypasses likelihood evaluation through data simulation
  • ABC frameworks balance computational tractability with inferential precision through architectural tradeoffs
  • Approximate Bayesian Computation Framework
  • Generalist ABC package accommodates flexible model and algorithm choice
  • Nonlinear heteroscedastic regression improves ABC parameter estimation accuracy
  • PCR duplicate filtering and mapping quality threshold improve sequence read quality
  • Shallow whole-genome sequencing detects copy number alterations in tumor samples
  • User-defined data simulation enables generalist ABC implementation
  • models

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