Probabilities on Complex Pedigrees; the Gibbs Sampler Approach,

Abstract

The analysis of complex familial traits requires the computation of likelihoods for complex genetic models on extended and/or complex pedigrees. This challenge has defeated conventional computational algorithms, but the pedigree Gibbs sampler provides an effective method of Monte Carlo evaluation of the required probabilities and likelihood ratio functions. Genetic models; Complex pedigrees; Conditional independence structure. Monte Carlo summation; Importance sampling; Gibbs sampler.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007171

Entities

People

  • Elizabeth Thompson

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computations
  • Computer Science
  • Data Science
  • Engineering
  • Mathematical Analysis
  • Mathematics
  • Probability
  • Sampling
  • Statistics
  • Test And Evaluation
  • Theoretical Computer Science

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Molecular and Cellular Biology

Technology Areas

  • Biotechnology